At Mimi, one of our core goals is to increase awareness of hearing health. In doing so we actively prevent hearing damage occurring in the first place, and increase the uptake of assistive listening solutions for those who need it.
Our smartphone applications have been downloaded over a million times, and generate vast amounts of valuable data on hearing. This data is core to driving the products and services we offer at Mimi, but equally this data is extremely valuable to our academic and industrial partners.
As a Research Data Engineer (m/f) at Mimi , you will primarily work on supplying reusable API endpoints that enable views on transformations of our database that meet the needs of research within Mimi. You will work closely with the research-product manager to ensure these APIs meet the requirements of external research partners. . You will furthermore work on software including preset modification tooling, and tools for running our own internal psychoacoustics and preference studies.
What you will do:
Design chainable APIs that give rapid access to various transformations of our main user profile database, facilitating research team members to build their own dashboards and tools that utilise our data
Design and produce plots and visualisations of certain analyses that best communicate valuable data insights when requested
Build software tools, setup and maintain hardware for psycho-acoustic user research
Support maintenance of Mimi's research database containing data from both external users as well as internal studies
Build interfaces for storing and retrieving scientific data to be used both internally as well as by external partners
Run scientific data analyses and visualisation for the research team as well as other company departments
You will enjoy:
Freedom in determining technologies and methods
What you bring to the table:
(Master's or Doctoral) Degree in acoustics, signal processing, computer science, electrical engineering, mathematics or natural sciences
Proven experience in data wrangling / statistics
Knowledge of API design, data reduction, and experience in testing / maintenance of RESTful endpoints
Experience with API design and documentation tools such as RAML
Experience in building software tools for scientific research
Knowledge of database technologies, and some knowledge of front-end web development technologies
Solid knowledge and experience in analysis and visualisation of scientific data
Foundational knowledge in sound generation, signal processing
Genuine interest in sound and hearing
Strong documentation skills
What we offer:
The opportunity to make an impact on an untapped market and contribute to the development of a truly innovative product and company
An entrepreneurial experience in a young, fast moving startup located in the heart of trendy Berlin-Mitte
Full responsibility and autonomy over your own projects in our innovative organizational system Holacracy
A welcoming work culture which nourishes personal growth as the base for company growth
A team of people who start doing things, fail and learn fast in order to keep moving instead of waiting and drafting the perfect solutions
A top calibre diverse international team
Competitive compensation packages
This can be your workplace:
As a pioneer in audio personalization, Mimi is developing a data driven experience that tests your ears, protects your ears, and adjusts sound to your ears.
The Mimi team is a diverse group of innovators with strong expertise in audio engineering, product development, business design, and communications. The origins of our team are deeply rooted in acoustic science. Our Hearing Test is the most accurate hearing test app in the App Store while Mimi Music is revolutionizing the way people listen to music. Our vision is to set a new standard for personalized sound.
Joining Mimi means you‘ll get the chance to help shape a truly innovative product in a budding market. As we’re still a young and small team of 40 people, your input will surely make an impact. Our company is self-organized through Holacracy which means clear structures and processes, high transparency, and distributed authority.
23/05/2018
Full time
At Mimi, one of our core goals is to increase awareness of hearing health. In doing so we actively prevent hearing damage occurring in the first place, and increase the uptake of assistive listening solutions for those who need it.
Our smartphone applications have been downloaded over a million times, and generate vast amounts of valuable data on hearing. This data is core to driving the products and services we offer at Mimi, but equally this data is extremely valuable to our academic and industrial partners.
As a Research Data Engineer (m/f) at Mimi , you will primarily work on supplying reusable API endpoints that enable views on transformations of our database that meet the needs of research within Mimi. You will work closely with the research-product manager to ensure these APIs meet the requirements of external research partners. . You will furthermore work on software including preset modification tooling, and tools for running our own internal psychoacoustics and preference studies.
What you will do:
Design chainable APIs that give rapid access to various transformations of our main user profile database, facilitating research team members to build their own dashboards and tools that utilise our data
Design and produce plots and visualisations of certain analyses that best communicate valuable data insights when requested
Build software tools, setup and maintain hardware for psycho-acoustic user research
Support maintenance of Mimi's research database containing data from both external users as well as internal studies
Build interfaces for storing and retrieving scientific data to be used both internally as well as by external partners
Run scientific data analyses and visualisation for the research team as well as other company departments
You will enjoy:
Freedom in determining technologies and methods
What you bring to the table:
(Master's or Doctoral) Degree in acoustics, signal processing, computer science, electrical engineering, mathematics or natural sciences
Proven experience in data wrangling / statistics
Knowledge of API design, data reduction, and experience in testing / maintenance of RESTful endpoints
Experience with API design and documentation tools such as RAML
Experience in building software tools for scientific research
Knowledge of database technologies, and some knowledge of front-end web development technologies
Solid knowledge and experience in analysis and visualisation of scientific data
Foundational knowledge in sound generation, signal processing
Genuine interest in sound and hearing
Strong documentation skills
What we offer:
The opportunity to make an impact on an untapped market and contribute to the development of a truly innovative product and company
An entrepreneurial experience in a young, fast moving startup located in the heart of trendy Berlin-Mitte
Full responsibility and autonomy over your own projects in our innovative organizational system Holacracy
A welcoming work culture which nourishes personal growth as the base for company growth
A team of people who start doing things, fail and learn fast in order to keep moving instead of waiting and drafting the perfect solutions
A top calibre diverse international team
Competitive compensation packages
This can be your workplace:
As a pioneer in audio personalization, Mimi is developing a data driven experience that tests your ears, protects your ears, and adjusts sound to your ears.
The Mimi team is a diverse group of innovators with strong expertise in audio engineering, product development, business design, and communications. The origins of our team are deeply rooted in acoustic science. Our Hearing Test is the most accurate hearing test app in the App Store while Mimi Music is revolutionizing the way people listen to music. Our vision is to set a new standard for personalized sound.
Joining Mimi means you‘ll get the chance to help shape a truly innovative product in a budding market. As we’re still a young and small team of 40 people, your input will surely make an impact. Our company is self-organized through Holacracy which means clear structures and processes, high transparency, and distributed authority.
Looking for the next step in your career? Are you enthusiastic about data and data models? You are skilled in (meta-)data management, have experience in administering and transforming comprehensive data structures? Then you've come to the right place! For our Technical Reporting team, part of Vattenfall's Business Area Heat, we are looking for an experienced and ambitious
Data Steward – Technical Data
The location for this position is Berlin/GER. As a member of an international team, we expect you to travel regularly to build international relationships within the team and the stakeholders of the data we process (e.g. to the main Vattenfall locations like Hamburg, Amsterdam, Stockholm and London).
As a member of the Technical Reporting Team, you’ll be exposed to a modern technology stack and a slick cross functional agile team setup. We are product owner of several products around data collection, analytics and reporting and work closely together with our internal IT-department.
Your job as a Data Steward – Technical Data As a Data Steward, you will be responsible for defining and maintaining the data management environment for our Business Area and be the interface to Vattenfall Groupwide Data Governance body. You will be responsible for translating data governance principles for an efficient data management in the Asset Data Domain including a framework for assuring data quality (plausibility, validation) and integrity.
Close cooperation with and consultancy for the multiple data owners within the different areas of our business will make you successful in this role.
You will report to the Head of Technical Reporting Germany.
Your key activities will be
Being responsible for Master Data Management of Technical Data domain and utilizing the organizations Data Governance processes to ensure fitness of data regarding content including structure data and metadata
Consistently define and manage data of our Technical Data domain to provide a single point of reference
Identify and provide new data sources
Develop, maintain and continuously optimize the according data model in close cooperation with information receiver and data provider
Make sure that data are consistent and easy to find based on a comprehensive data model, maintain the data catalogue
Verify the accuracy, completeness, timeliness and reliability of data in the main data platforms based on algorithms and rules for plausibility checks and validation
Design and maintain data access for all stakeholders, supporting self-service structures in data provision
Working closely with Business Units to implement, document, validate and monitor the dataflows and measurements to the central data platforms
Your profile as a Data Steward – Technical Data Are you triggered by governing data? Can you ask critical questions, challenge the status quo and do you constantly strive for improvement? You want to accompany us on the way to digitization and take a big step forward? Perfect! We are looking for someone who has a proven track record in data governance in an industrial environment and who is inspired by joining a company on its journey to being truly data-driven. In addition, you have/are:
You have a University degree (Master) in Math, Statistics, Engineering, Computer Science or other quantitative fields
You have experience in implementing and promoting master data management in a complex data environment
You have experience with according DWH-systems, DB-technologies and data lake environments / cloud-computing
You have a deep understanding of data quality requirements for further model-based analytics
You are a self-starter who fancies working independently and who is focused on high impact results
You work effectively with colleagues across organizational units within different locations / countries and support intensive knowledge exchange
You communicate fluently both in German and English, verbally and written
You are proactive and have excellent communication skills
You feel comfortable being the single point of contact for different stakeholders
You are excited about building something new, to make change happen
At Vattenfall, we are convinced that striving for diversity helps building a more profitable, efficient and attractive company. Therefore, we seek a harmonious balance of employees in terms of age, religion, gender identity & expression, sexual identity, disability and ethnic background.
What we offer At Vattenfall, you will work in an open and dynamic working environment. We offer you a challenging and independent job where you can play a part in shaping the digital future of our company. We want to be the best in what we do. Besides being a challenging and inspiring place to work, we value a great work atmosphere. We offer good remuneration, attractive employment conditions and opportunities for personal and professional growth as well as an office in the heart of Berlin and flexible working hours (including home office).
For more information about the position, you are welcome to contact Hiring Manager Corinna Ullmer via phone +49 30 267 10089. For information about the recruitment process, please contact Bettina Keil via phone +49 40 79022 2289 . The entry deadline is June 30 th , 2018. Please apply directly via the application button .
17/05/2018
Full time
Looking for the next step in your career? Are you enthusiastic about data and data models? You are skilled in (meta-)data management, have experience in administering and transforming comprehensive data structures? Then you've come to the right place! For our Technical Reporting team, part of Vattenfall's Business Area Heat, we are looking for an experienced and ambitious
Data Steward – Technical Data
The location for this position is Berlin/GER. As a member of an international team, we expect you to travel regularly to build international relationships within the team and the stakeholders of the data we process (e.g. to the main Vattenfall locations like Hamburg, Amsterdam, Stockholm and London).
As a member of the Technical Reporting Team, you’ll be exposed to a modern technology stack and a slick cross functional agile team setup. We are product owner of several products around data collection, analytics and reporting and work closely together with our internal IT-department.
Your job as a Data Steward – Technical Data As a Data Steward, you will be responsible for defining and maintaining the data management environment for our Business Area and be the interface to Vattenfall Groupwide Data Governance body. You will be responsible for translating data governance principles for an efficient data management in the Asset Data Domain including a framework for assuring data quality (plausibility, validation) and integrity.
Close cooperation with and consultancy for the multiple data owners within the different areas of our business will make you successful in this role.
You will report to the Head of Technical Reporting Germany.
Your key activities will be
Being responsible for Master Data Management of Technical Data domain and utilizing the organizations Data Governance processes to ensure fitness of data regarding content including structure data and metadata
Consistently define and manage data of our Technical Data domain to provide a single point of reference
Identify and provide new data sources
Develop, maintain and continuously optimize the according data model in close cooperation with information receiver and data provider
Make sure that data are consistent and easy to find based on a comprehensive data model, maintain the data catalogue
Verify the accuracy, completeness, timeliness and reliability of data in the main data platforms based on algorithms and rules for plausibility checks and validation
Design and maintain data access for all stakeholders, supporting self-service structures in data provision
Working closely with Business Units to implement, document, validate and monitor the dataflows and measurements to the central data platforms
Your profile as a Data Steward – Technical Data Are you triggered by governing data? Can you ask critical questions, challenge the status quo and do you constantly strive for improvement? You want to accompany us on the way to digitization and take a big step forward? Perfect! We are looking for someone who has a proven track record in data governance in an industrial environment and who is inspired by joining a company on its journey to being truly data-driven. In addition, you have/are:
You have a University degree (Master) in Math, Statistics, Engineering, Computer Science or other quantitative fields
You have experience in implementing and promoting master data management in a complex data environment
You have experience with according DWH-systems, DB-technologies and data lake environments / cloud-computing
You have a deep understanding of data quality requirements for further model-based analytics
You are a self-starter who fancies working independently and who is focused on high impact results
You work effectively with colleagues across organizational units within different locations / countries and support intensive knowledge exchange
You communicate fluently both in German and English, verbally and written
You are proactive and have excellent communication skills
You feel comfortable being the single point of contact for different stakeholders
You are excited about building something new, to make change happen
At Vattenfall, we are convinced that striving for diversity helps building a more profitable, efficient and attractive company. Therefore, we seek a harmonious balance of employees in terms of age, religion, gender identity & expression, sexual identity, disability and ethnic background.
What we offer At Vattenfall, you will work in an open and dynamic working environment. We offer you a challenging and independent job where you can play a part in shaping the digital future of our company. We want to be the best in what we do. Besides being a challenging and inspiring place to work, we value a great work atmosphere. We offer good remuneration, attractive employment conditions and opportunities for personal and professional growth as well as an office in the heart of Berlin and flexible working hours (including home office).
For more information about the position, you are welcome to contact Hiring Manager Corinna Ullmer via phone +49 30 267 10089. For information about the recruitment process, please contact Bettina Keil via phone +49 40 79022 2289 . The entry deadline is June 30 th , 2018. Please apply directly via the application button .
Looking for the next step of your career? Are you enthusiastic about quantitative data? Do you want to contribute to Vattenfall’s digitalization strategy? For our team Technical Reporting, part of Vattenfall’s Business Area (BA) Heat, we are now looking for an experienced and ambitious
Senior Data Analyst – Technical Data
The location for this position is Berlin/GER. As a member of an international team, we expect you to travel regularly to build international relationships within the team and the stakeholders of the data we process (e.g. to the main Vattenfall locations like Hamburg, Amsterdam, Stockholm and London).
Your job as Senior Data Analyst – Technical Data As a Senior Data Analyst, you have a comprehensive understanding of data processing and the mathematical / stochastic relationships of data in an industrial environment. You will play a key role in bringing the digitalization strategy to life and influencing the concrete implementation. Your experience in “Big Data”, your creative and innovative mind will find a design leeway as we are in the beginning stage of our digital efforts.
As part of our companywide digitalization strategy, we have introduced a data lake solution based on a “Microsoft first strategy” which incorporates latest technologies ranging from the Microsoft Azure Stack including Office 365 with Power BI to Azure DWH and Hadoop Clusters with Machine Learning components.
As a Senior Data Analyst you will help to make this technology ready for us in BA Heat to use for our wide variety of data sources (including technical time series) by designing, developing and implementing according solutions reaching out into the different data domains within our business.
In your role as Data Analyst, you will be reporting to the Head of Technical Reporting.
Your key activities will be
Explore data, identify, translate and consult about important business process questions based on insights from data
Analyze structured and unstructured data, perform Data Mining incl. identification of patterns with economic potential, find actionable insights and make recommendations
Evaluate and establish appropriate practices for statistical analytics
Design visualizations of information, dashboards and reports
Implement and maintain cleansing techniques and transform data to make it more appropriate and valuable for analytics (data wrangling)
Work closely with our business to implement, document, validate and monitor the dataflows and measurements to the central data platforms
Your profile as Senior Data Analyst – Technical Data Are you triggered by piloting and implementing new technologies? Can you ask critical questions, challenge the status quo and do you constantly strive for improvement? Perfect! We are looking for someone who is creative and has ideas about which technologies and methods are best applicable for us. In addition, you have/are:
You have an academic degree within a relevant area such as Math, Statistics, Engineering, Computer Science or equivalent
You have experience doing data analysis and quantitative analysis in a Big Data environment and are focused on translating them into added value according to given business targets
You have a deep understanding of validation, data preparation and cleansing processes as well as statistical tooling and experiment design
You have the ability to effectively visualize and communicate results to others and create trust
You have experience in energy business processes
You work effectively with colleagues across organizational units within different locations / countries and support intensive knowledge exchange
You communicate fluently both in German and English, verbally and written
You are excited about building something new, to make change happen
You are open and able to communicate with our various stakeholders (including different levels of management)
At Vattenfall, we are convinced that striving for diversity helps building a more profitable, efficient and attractive company. Therefore, we seek a harmonious balance of employees in terms of age, religion, gender identity & expression, sexual identity, disability and ethnic background.
What we offer At Vattenfall, you will work in an open and dynamic working environment. We offer you a challenging and independent job where you can play a part in shaping the digital future of our company. We want to be the best in what we do. Besides being a challenging and inspiring place to work, we value a great work atmosphere. We offer good remuneration, attractive employment conditions and opportunities for personal and professional growth as well as an office in the heart of Berlin and flexible working hours (including home office).
For more information about the position, you are welcome to contact Corinna Ullmer (Director Technical Reporting) via phone +49 30 267 10089. For information about the recruitment process, please contact Bettina Keil via phone +49 40 79022 2289. The entry deadline is June 30 th , 2018. Please apply directly via the application button .
17/05/2018
Full time
Looking for the next step of your career? Are you enthusiastic about quantitative data? Do you want to contribute to Vattenfall’s digitalization strategy? For our team Technical Reporting, part of Vattenfall’s Business Area (BA) Heat, we are now looking for an experienced and ambitious
Senior Data Analyst – Technical Data
The location for this position is Berlin/GER. As a member of an international team, we expect you to travel regularly to build international relationships within the team and the stakeholders of the data we process (e.g. to the main Vattenfall locations like Hamburg, Amsterdam, Stockholm and London).
Your job as Senior Data Analyst – Technical Data As a Senior Data Analyst, you have a comprehensive understanding of data processing and the mathematical / stochastic relationships of data in an industrial environment. You will play a key role in bringing the digitalization strategy to life and influencing the concrete implementation. Your experience in “Big Data”, your creative and innovative mind will find a design leeway as we are in the beginning stage of our digital efforts.
As part of our companywide digitalization strategy, we have introduced a data lake solution based on a “Microsoft first strategy” which incorporates latest technologies ranging from the Microsoft Azure Stack including Office 365 with Power BI to Azure DWH and Hadoop Clusters with Machine Learning components.
As a Senior Data Analyst you will help to make this technology ready for us in BA Heat to use for our wide variety of data sources (including technical time series) by designing, developing and implementing according solutions reaching out into the different data domains within our business.
In your role as Data Analyst, you will be reporting to the Head of Technical Reporting.
Your key activities will be
Explore data, identify, translate and consult about important business process questions based on insights from data
Analyze structured and unstructured data, perform Data Mining incl. identification of patterns with economic potential, find actionable insights and make recommendations
Evaluate and establish appropriate practices for statistical analytics
Design visualizations of information, dashboards and reports
Implement and maintain cleansing techniques and transform data to make it more appropriate and valuable for analytics (data wrangling)
Work closely with our business to implement, document, validate and monitor the dataflows and measurements to the central data platforms
Your profile as Senior Data Analyst – Technical Data Are you triggered by piloting and implementing new technologies? Can you ask critical questions, challenge the status quo and do you constantly strive for improvement? Perfect! We are looking for someone who is creative and has ideas about which technologies and methods are best applicable for us. In addition, you have/are:
You have an academic degree within a relevant area such as Math, Statistics, Engineering, Computer Science or equivalent
You have experience doing data analysis and quantitative analysis in a Big Data environment and are focused on translating them into added value according to given business targets
You have a deep understanding of validation, data preparation and cleansing processes as well as statistical tooling and experiment design
You have the ability to effectively visualize and communicate results to others and create trust
You have experience in energy business processes
You work effectively with colleagues across organizational units within different locations / countries and support intensive knowledge exchange
You communicate fluently both in German and English, verbally and written
You are excited about building something new, to make change happen
You are open and able to communicate with our various stakeholders (including different levels of management)
At Vattenfall, we are convinced that striving for diversity helps building a more profitable, efficient and attractive company. Therefore, we seek a harmonious balance of employees in terms of age, religion, gender identity & expression, sexual identity, disability and ethnic background.
What we offer At Vattenfall, you will work in an open and dynamic working environment. We offer you a challenging and independent job where you can play a part in shaping the digital future of our company. We want to be the best in what we do. Besides being a challenging and inspiring place to work, we value a great work atmosphere. We offer good remuneration, attractive employment conditions and opportunities for personal and professional growth as well as an office in the heart of Berlin and flexible working hours (including home office).
For more information about the position, you are welcome to contact Corinna Ullmer (Director Technical Reporting) via phone +49 30 267 10089. For information about the recruitment process, please contact Bettina Keil via phone +49 40 79022 2289. The entry deadline is June 30 th , 2018. Please apply directly via the application button .
Die Surf Media GmbH (Teil der iVentureGroup mit über 400 Mitarbeitern) ist ein etabliertes und international tätiges Tech-Unternehmen mit Hauptsitz in Hamburg, das sich den Start-Up-Spirit bewahrt hat. Weitere Standorte befinden sich in Kiel, Bremen und Lautern. Mit mehr als 140 Mitarbeitern aus über 15 Nationen am Standort Hamburg sind wir unter anderem spezialisiert auf die Entwicklung und Vermarktung von skalierbaren und hochperformanten Community Plattformen im Online-Dating-Bereich. Hierzu gehört vor allem die Bereitstellung einer sicheren und hochverfügbaren Serverlandschaft, die Content-Entwicklung mittels verschiedener Programmiersprachen sowie die Auswahl und Implementierung sicherer Transaktionsdienste.
Dein Profil:
Bachelor Abschluss in einem naturwissenschaftlichen Bereich (Informatik, Statistik, Mathematik, Wirtschaftswissenschaften o.ä.)
Mehrjährige praktische Erfahrung im Bereich Machine Learning, Statistical Modelling und Hypothesen Tests
Du besitzt ein gutes Zahlenverständnis und weißt wie man dieses mit Business Fragestellungen verknüpfen kann
Du bringst Erfahrungen in der Auswertung großer Datenmengen mit
Du besitzt technische Kenntnisse zur Durchführung komplexer Datenanalysen: ○ Analysetools (Pandas, R, SQL) ○ Erfahrung mit Mapreduce, Hadoop, Spark sind von Vorteil ○ Kenntnisse in Python, Java oder Scala sind von Vorteil ○ Erfahrung mit Tableau/ Shiny
Du hast Erfahrung im Umgang und der Visualisierung von komplexen Fragestellungen im Data Analytics Bereich
Deine Aufgaben:
Durchführung von Analysen großer Datensätze und Ableitung der Erkenntnisse für zukünftige Business Entscheidungen
Entwicklung von Machine Learning Modellen, um unsere Bidding Strategie, User Conversion und User Targeting zu optimieren.
Auswertung von A/B Tests, um die zukünftige Produktentwicklung erfolgreich voranzutreiben
Kommunikation der Ergebnisse und Abgabe von Handlungsempfehlungen für die relevante Key Stakeholders
Umsetzung eigener Data Science Projekte im Bereich Marketing Technology (Full Cycle Production)
Mitarbeit in einem Team von Data Scientists, Software Entwicklern und Kollegen in der Marketingabteilung
Was wir bieten:
Wir bieten einen spannenden und abwechslungsreichen Job in unbefristeter Anstellung, so wie die Möglichkeit sich kreativ einzubringen und sich beruflich weiterzuentwickeln. Eine Aufgabe mit Verantwortung, bei der viel Wert auf eigene Ideen gelegt wird. Wir haben flexible Arbeitszeiten und eine gute Arbeitsatmosphäre in einem fröhlichen und motivierten Team. Außerdem bekommst Du bei uns so viele Getränke, Kaffee und heiße Schokolade wie Du magst!
Hier findest Du eine Übersicht von weiteren Benefits , die wir bei der Surf Media haben. Wenn Dich diese Aufgabe reizt, freuen wir uns auf Deine aussagekräftigen Unterlagen inkl. Verfügbarkeit und Angaben zum Gehaltswunsch.
Hast Du eine Frage zum Bewerbungsprozess oder zur Surf Media? Dann schicke uns doch einfach eine WhatsApp-Nachricht an die folgende Nummer: 0157 / 84536402. Wir sind von Montag bis Freitag von 9 bis 15:30 Uhr dort zu erreichen!
Weitere Infos zu uns kannst Du auch bei Facebook oder in unserem Blog finden. Alle offenen Stellen bei der Surf Media findest Du hier .
Surf Media GmbH
Wendenstraße 21 a
20097 Hamburg
+49 (0)40 /23 78 76 20
Alle Benefits
Jetzt bewerben
30/06/2018
Full time
Die Surf Media GmbH (Teil der iVentureGroup mit über 400 Mitarbeitern) ist ein etabliertes und international tätiges Tech-Unternehmen mit Hauptsitz in Hamburg, das sich den Start-Up-Spirit bewahrt hat. Weitere Standorte befinden sich in Kiel, Bremen und Lautern. Mit mehr als 140 Mitarbeitern aus über 15 Nationen am Standort Hamburg sind wir unter anderem spezialisiert auf die Entwicklung und Vermarktung von skalierbaren und hochperformanten Community Plattformen im Online-Dating-Bereich. Hierzu gehört vor allem die Bereitstellung einer sicheren und hochverfügbaren Serverlandschaft, die Content-Entwicklung mittels verschiedener Programmiersprachen sowie die Auswahl und Implementierung sicherer Transaktionsdienste.
Dein Profil:
Bachelor Abschluss in einem naturwissenschaftlichen Bereich (Informatik, Statistik, Mathematik, Wirtschaftswissenschaften o.ä.)
Mehrjährige praktische Erfahrung im Bereich Machine Learning, Statistical Modelling und Hypothesen Tests
Du besitzt ein gutes Zahlenverständnis und weißt wie man dieses mit Business Fragestellungen verknüpfen kann
Du bringst Erfahrungen in der Auswertung großer Datenmengen mit
Du besitzt technische Kenntnisse zur Durchführung komplexer Datenanalysen: ○ Analysetools (Pandas, R, SQL) ○ Erfahrung mit Mapreduce, Hadoop, Spark sind von Vorteil ○ Kenntnisse in Python, Java oder Scala sind von Vorteil ○ Erfahrung mit Tableau/ Shiny
Du hast Erfahrung im Umgang und der Visualisierung von komplexen Fragestellungen im Data Analytics Bereich
Deine Aufgaben:
Durchführung von Analysen großer Datensätze und Ableitung der Erkenntnisse für zukünftige Business Entscheidungen
Entwicklung von Machine Learning Modellen, um unsere Bidding Strategie, User Conversion und User Targeting zu optimieren.
Auswertung von A/B Tests, um die zukünftige Produktentwicklung erfolgreich voranzutreiben
Kommunikation der Ergebnisse und Abgabe von Handlungsempfehlungen für die relevante Key Stakeholders
Umsetzung eigener Data Science Projekte im Bereich Marketing Technology (Full Cycle Production)
Mitarbeit in einem Team von Data Scientists, Software Entwicklern und Kollegen in der Marketingabteilung
Was wir bieten:
Wir bieten einen spannenden und abwechslungsreichen Job in unbefristeter Anstellung, so wie die Möglichkeit sich kreativ einzubringen und sich beruflich weiterzuentwickeln. Eine Aufgabe mit Verantwortung, bei der viel Wert auf eigene Ideen gelegt wird. Wir haben flexible Arbeitszeiten und eine gute Arbeitsatmosphäre in einem fröhlichen und motivierten Team. Außerdem bekommst Du bei uns so viele Getränke, Kaffee und heiße Schokolade wie Du magst!
Hier findest Du eine Übersicht von weiteren Benefits , die wir bei der Surf Media haben. Wenn Dich diese Aufgabe reizt, freuen wir uns auf Deine aussagekräftigen Unterlagen inkl. Verfügbarkeit und Angaben zum Gehaltswunsch.
Hast Du eine Frage zum Bewerbungsprozess oder zur Surf Media? Dann schicke uns doch einfach eine WhatsApp-Nachricht an die folgende Nummer: 0157 / 84536402. Wir sind von Montag bis Freitag von 9 bis 15:30 Uhr dort zu erreichen!
Weitere Infos zu uns kannst Du auch bei Facebook oder in unserem Blog finden. Alle offenen Stellen bei der Surf Media findest Du hier .
Surf Media GmbH
Wendenstraße 21 a
20097 Hamburg
+49 (0)40 /23 78 76 20
Alle Benefits
Jetzt bewerben
Who we are
Klarna is Europe's fastest growing and most exciting financial technologies (FinTech) company valued at over $2.5bn and we’re growing by 40% a year. Here at Klarna we are striving to become the world’s most favourite way to buy. It is a bold objective, but we are well on course to achieving it.
Klarna is already operating in 18 markets and we plan to keep expanding. We serve 60 million consumers, work with 70 000 merchants and process more than a million transactions a day. We have some pretty heavy-weight investors including Visa, Sequoia Capital, Permira and Anders Povlsen.
Unicorns are rare - and we are one of them! Unicorns are tech startups valued at over 1$Bn. Moreover, Klarna is listed 8th on CNBC most ‘disruptive companies in the world’ list for 2016, alongside Uber, AirBnB and coming above companies like Snapchat and Spotify - we are really starting to change the global world of payments.
Klarna strives to become the world’s favourite way to buy, and you can contribute to reaching this goal! We are looking to hire great people, who are passionate about using their talents to generate success. Data Engineering is no exception! We are currently looking to grow our Data Domain to satisfy the company’s ever increasing need to understand, predict and make the right decisions on large, fast, structured, unstructured and growing amounts of data!
What you will do
The data journey starts in the data producing systems, travels through the Big-Data cluster, is refined in the Data Warehouse and presented to both internal and external users in the BI Applications. Since your team will be responsible for the whole stack, it is possible to become proficient in all technologies throughout the stack or choose to focus on some of them.Your stakeholders will be Data Scientist, Business Analysts, other Engineers building Insights and all Klarna employees that need data in their daily work. We have amazing teams that take care of and become experts at different parts of the domain where sharing and collaboration are key.
As part of a Data Engineering team at Klarna you will mainly use Kafka, Hortonworks Hadoop, Postgres SQL, MS SQL, Qlik Sense - but we are always looking for the best technology available.
Who you are
Klarna is looking for ambitious people with significant drive! You should be passionate about your job and enjoy a fast paced international working environment. You will play an important role in taking Klarna to the next level thus, you should desire to go above and beyond to produce best work results! At Klarna we embrace change, you should dare to challenge the status quo and be persistent.
You should have
Relevant education with a degree in engineering or comparable skills
Experience of databases, BI tools and SQL (we really like SQL!)
Working proficiency and communication skills in verbal and written English.
You might also
Enjoy thinking in structures, new use cases, visualisations and
Be curious and interested in data, either big data, data warehouse or business intelligence, or all of the above!
How to apply
Send over a CV and cover letter in English.
We offer you an international working environment filled with smart and ambitious colleagues. We know that diverse teams are strong teams, and welcome those from all different backgrounds and experiences. Your role will make a difference, and you will be a player in a team that has a strong impact on the business result. As an employee at one of Europe’s fastest growing companies, you will play an important role in taking Klarna to the next level.
APPLY FOR THIS JOB
29/06/2018
Full time
Who we are
Klarna is Europe's fastest growing and most exciting financial technologies (FinTech) company valued at over $2.5bn and we’re growing by 40% a year. Here at Klarna we are striving to become the world’s most favourite way to buy. It is a bold objective, but we are well on course to achieving it.
Klarna is already operating in 18 markets and we plan to keep expanding. We serve 60 million consumers, work with 70 000 merchants and process more than a million transactions a day. We have some pretty heavy-weight investors including Visa, Sequoia Capital, Permira and Anders Povlsen.
Unicorns are rare - and we are one of them! Unicorns are tech startups valued at over 1$Bn. Moreover, Klarna is listed 8th on CNBC most ‘disruptive companies in the world’ list for 2016, alongside Uber, AirBnB and coming above companies like Snapchat and Spotify - we are really starting to change the global world of payments.
Klarna strives to become the world’s favourite way to buy, and you can contribute to reaching this goal! We are looking to hire great people, who are passionate about using their talents to generate success. Data Engineering is no exception! We are currently looking to grow our Data Domain to satisfy the company’s ever increasing need to understand, predict and make the right decisions on large, fast, structured, unstructured and growing amounts of data!
What you will do
The data journey starts in the data producing systems, travels through the Big-Data cluster, is refined in the Data Warehouse and presented to both internal and external users in the BI Applications. Since your team will be responsible for the whole stack, it is possible to become proficient in all technologies throughout the stack or choose to focus on some of them.Your stakeholders will be Data Scientist, Business Analysts, other Engineers building Insights and all Klarna employees that need data in their daily work. We have amazing teams that take care of and become experts at different parts of the domain where sharing and collaboration are key.
As part of a Data Engineering team at Klarna you will mainly use Kafka, Hortonworks Hadoop, Postgres SQL, MS SQL, Qlik Sense - but we are always looking for the best technology available.
Who you are
Klarna is looking for ambitious people with significant drive! You should be passionate about your job and enjoy a fast paced international working environment. You will play an important role in taking Klarna to the next level thus, you should desire to go above and beyond to produce best work results! At Klarna we embrace change, you should dare to challenge the status quo and be persistent.
You should have
Relevant education with a degree in engineering or comparable skills
Experience of databases, BI tools and SQL (we really like SQL!)
Working proficiency and communication skills in verbal and written English.
You might also
Enjoy thinking in structures, new use cases, visualisations and
Be curious and interested in data, either big data, data warehouse or business intelligence, or all of the above!
How to apply
Send over a CV and cover letter in English.
We offer you an international working environment filled with smart and ambitious colleagues. We know that diverse teams are strong teams, and welcome those from all different backgrounds and experiences. Your role will make a difference, and you will be a player in a team that has a strong impact on the business result. As an employee at one of Europe’s fastest growing companies, you will play an important role in taking Klarna to the next level.
APPLY FOR THIS JOB
Grover is a fresh alternative to buying.
Through us, you can subscribe to the latest tech instead of buying, and give things back at any time. We’re on a mission to reinvent consumption, go easier on the world’s resources, and make innovative tech products accessible to everyone. As our community is growing every day, we’re now looking for a Data Engineer.
Your Role:
You will be member of our strong Data team of data engineers and data scientists
You will participate in design of Company wide Data Models
Together with team you will enhance our Operational Data Store, Data Warehouse and Data Marts
You will develop new and maintain existing ETL processes for external and internal data sources
You will be able to participate in development of our Machine Learning algorithms and learn about Artificial Intelligence systems
Your Profile:
3+ years experience in RDMS management and development
Experience with web-tracking and stream processing technologies
Team work
Proficient level in SQL
Good level in Python
Knowledge of No-SQL and Big Data is plus
Nice to have: Jenkins, GTM, ETL tools like Pentaho, Talend, Javascript
What we offer you:
Entrepreneurial responsibility and flat-hierarchies
Ownership of your work
Fun at work
Modern, spacious office located in central Berlin
A fun workplace
Fresh Fruit & Drinks
Team Events
About us
Want to work with a small but very effective team, and help us change the world of consumption? Then you’re in the right place. At Grover, we value entrepreneurship, intelligence, and speed in everything we do. We’re a team of over 40 creative minds, from more than 16 countries – which means our aims, beliefs, and ways of working are influenced by many different perspectives. In our HQ, in Berlin Mitte, there’s no room for hierarchy, and plenty of space for fun, collaboration, and rethinking the way the world does things.
Apply for this position
28/06/2018
Full time
Grover is a fresh alternative to buying.
Through us, you can subscribe to the latest tech instead of buying, and give things back at any time. We’re on a mission to reinvent consumption, go easier on the world’s resources, and make innovative tech products accessible to everyone. As our community is growing every day, we’re now looking for a Data Engineer.
Your Role:
You will be member of our strong Data team of data engineers and data scientists
You will participate in design of Company wide Data Models
Together with team you will enhance our Operational Data Store, Data Warehouse and Data Marts
You will develop new and maintain existing ETL processes for external and internal data sources
You will be able to participate in development of our Machine Learning algorithms and learn about Artificial Intelligence systems
Your Profile:
3+ years experience in RDMS management and development
Experience with web-tracking and stream processing technologies
Team work
Proficient level in SQL
Good level in Python
Knowledge of No-SQL and Big Data is plus
Nice to have: Jenkins, GTM, ETL tools like Pentaho, Talend, Javascript
What we offer you:
Entrepreneurial responsibility and flat-hierarchies
Ownership of your work
Fun at work
Modern, spacious office located in central Berlin
A fun workplace
Fresh Fruit & Drinks
Team Events
About us
Want to work with a small but very effective team, and help us change the world of consumption? Then you’re in the right place. At Grover, we value entrepreneurship, intelligence, and speed in everything we do. We’re a team of over 40 creative minds, from more than 16 countries – which means our aims, beliefs, and ways of working are influenced by many different perspectives. In our HQ, in Berlin Mitte, there’s no room for hierarchy, and plenty of space for fun, collaboration, and rethinking the way the world does things.
Apply for this position
YOUR RESPONSIBILITIES
Own the process from when data is generated to when it is stored in DWH
Build data pipelines and integrations from disparate sources (Google Analytics, Salesforce, MYSQL, REST APIs)
Manage, build and optimize architecture of data warehouse
Work cross functionally with business analysts, engineering and product to ensure data needs are met
YOUR PROFILE
Experienced in building data pipelines, ETL, data warehousing and custom integrations
Familiar with data warehousing and big data methodologies
Expert Python and SQL knowledge
Education in computer science or information systems
Excited to work in a start-up environment with a large variety of challenges and comfortable wearing many different technical hats in one day
Bonus points for:
Experience with REST APIs
Experience with Kafka
Experience with microservices
WHAT WE OFFER
A steep learning curve in an innovative industry; including plenty of responsibility and conceptual freedom
An international team of experts who inspire and support you
An easily accessible and modern workplace
Regular get-togethers, team building events, barbecues, and parties
Typical startup perks: soft drinks and snacks for free, language classes for German and English
Apply now
ABOUT US
WE ARE LENDICO
Lendico is a modern FinTech company focussing on the intermediation of company loans via an online lending market place. On its platforms, Lendico connects companies and investors and offers a fast and digital alternative to regular banks. The loan process is completely online and without any branch network. With the most modern technologies and innovative processes Lendico aims for minimizing the cost and handling efforts connected to company financing. Since its foundation in December 2013, Lendico has gained the trust of more than 400.000 users and won several awards in the P2P-segment.
27/06/2018
Full time
YOUR RESPONSIBILITIES
Own the process from when data is generated to when it is stored in DWH
Build data pipelines and integrations from disparate sources (Google Analytics, Salesforce, MYSQL, REST APIs)
Manage, build and optimize architecture of data warehouse
Work cross functionally with business analysts, engineering and product to ensure data needs are met
YOUR PROFILE
Experienced in building data pipelines, ETL, data warehousing and custom integrations
Familiar with data warehousing and big data methodologies
Expert Python and SQL knowledge
Education in computer science or information systems
Excited to work in a start-up environment with a large variety of challenges and comfortable wearing many different technical hats in one day
Bonus points for:
Experience with REST APIs
Experience with Kafka
Experience with microservices
WHAT WE OFFER
A steep learning curve in an innovative industry; including plenty of responsibility and conceptual freedom
An international team of experts who inspire and support you
An easily accessible and modern workplace
Regular get-togethers, team building events, barbecues, and parties
Typical startup perks: soft drinks and snacks for free, language classes for German and English
Apply now
ABOUT US
WE ARE LENDICO
Lendico is a modern FinTech company focussing on the intermediation of company loans via an online lending market place. On its platforms, Lendico connects companies and investors and offers a fast and digital alternative to regular banks. The loan process is completely online and without any branch network. With the most modern technologies and innovative processes Lendico aims for minimizing the cost and handling efforts connected to company financing. Since its foundation in December 2013, Lendico has gained the trust of more than 400.000 users and won several awards in the P2P-segment.
Die convivo GmbH berät und betreut seit der Gründung im Jahr 1998 zahlreiche Unternehmenskunden aus dem In- und Ausland.
Im Mittelpunkt steht bei convivo die Realisierung ebenso komplexer wie leicht bedienbarer Applikationen für Inter- und Intranet sowie Desktop-Applikationen auf der Basis stabiler, skalierbarer und performanter Backendsysteme.
Für unseren Standort in Berlin suchen wir in Festanstellung zum nächstmöglichen Zeitpunkt Dich, als einen Data Analyst / Data Scientist (m/w)
Du bist Teil eines Scrum Teams und bleibst beim Anblick gewaltiger, ungeordneter Datenmengen ganz cool. Laut CNBC ist deine Arbeit nichts Geringeres als “the sexiest job of the 21st century”.
Deine Aufgaben
Du bist am gesamten Prozess von der Selektion über die Aufbereitung und Analyse von Daten und KPIs bis zur Entwicklung und Erstellung von Reports und Berichten als Entscheidungsgrundlage beteiligt.
Du unterstützt insbesondere unseren Kunden bei der Analyse und Identifikation wichtiger Trends und Muster.
Du widmest Dich dem KDD-Prozess von der Zieldefinition über Data Mining bis zur Ergebnisinterpretation mit den Fachbereichen und der Visualisierung der Ergebnisse.
Du erstellst multivariate Analyse strukturierter, teilstrukturierter sowie unstrukturierter Massendaten (insbes. Data Mining) und Abfragen auf das Data Warehouse (u. a. aus SQL-basierten Datenbanken)
Du bist zuständig für das Monitoring und die Rekalibrierung der entwickelten Modelle.
Wie passt Du in unser Team?
Du hast ein Studium der Mathematik, (Wirtschafts-) Informatik oder eine vergleichbare Ausbildung absolviert oder bist ein Quereinsteiger und kannst mehrjährige Berufserfahrung vorweisen
Du hast schon erste Berufserfahrung als Data Analyst/Data Scientist gesammelt und bist in den Methoden Descriptive Analytics, Predictive Analytics, KDD und Data Mining gut bewandert.
Du bringst idealerweise gute Kenntnisse im Bereich Datenbanken und ERP-Systeme (SQL, Access etc.) sowie gängiger Analysesoftware und Machine Learning mit
Du verfügst über stark analytisches und lösungsorientiertes Denkvermögen und Handeln
Du hast ausgeprägtes mathematisches Verständnis sowie betriebswirtschaftliche Denkweise
Du arbeitest strukturiert und selbständig, mit dem Blick für das Ganze und bist in der Lage die gewonnenen Erkenntnisse dem Kunden überzeugend zu vermitteln
Du bringst gute bis sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift mit
Warum convivo?
Wir lieben es pragmatisch. Du arbeitest in einem agilen Umfeld (Scrum) mit Allem was dazu gehört
Wir sind offen für neue Technologien und nutzen sie, wenn es Sinn macht
Wir haben keine Angst vor großen architektonischen Herausforderungen
Das erwartet Dich bei uns:
Ein erfahrenes und aufgeschlossenes Team mit dem Du deine Ideen und neue Impulse austauschen kannst
Angenehme Arbeitsatmosphäre: Keine Großraumbüros, freie Getränke und Pizzafreitag
Raum für persönliche und professionelle Entwicklung sowie kontinuierliche Verbesserungen in allen Bereichen unseres Unternehmens
Work-Life-Balance: Flexible Arbeitszeiten, Kicker und Beachvolleyball im Sommer
Interessiert?
Wir freuen uns darauf, Dich kennenzulernen! Bitte bewirb Dich mit Deinen vollständigen Bewerbungsunterlagen (Anschreiben, Lebenslauf, Zeugnisse) per E-Mail an Frau Schmidt bei job@convivo.com .
Für weitere Informationen besuche auch unsere Internetseite www.convivo.com
27/06/2018
Full time
Die convivo GmbH berät und betreut seit der Gründung im Jahr 1998 zahlreiche Unternehmenskunden aus dem In- und Ausland.
Im Mittelpunkt steht bei convivo die Realisierung ebenso komplexer wie leicht bedienbarer Applikationen für Inter- und Intranet sowie Desktop-Applikationen auf der Basis stabiler, skalierbarer und performanter Backendsysteme.
Für unseren Standort in Berlin suchen wir in Festanstellung zum nächstmöglichen Zeitpunkt Dich, als einen Data Analyst / Data Scientist (m/w)
Du bist Teil eines Scrum Teams und bleibst beim Anblick gewaltiger, ungeordneter Datenmengen ganz cool. Laut CNBC ist deine Arbeit nichts Geringeres als “the sexiest job of the 21st century”.
Deine Aufgaben
Du bist am gesamten Prozess von der Selektion über die Aufbereitung und Analyse von Daten und KPIs bis zur Entwicklung und Erstellung von Reports und Berichten als Entscheidungsgrundlage beteiligt.
Du unterstützt insbesondere unseren Kunden bei der Analyse und Identifikation wichtiger Trends und Muster.
Du widmest Dich dem KDD-Prozess von der Zieldefinition über Data Mining bis zur Ergebnisinterpretation mit den Fachbereichen und der Visualisierung der Ergebnisse.
Du erstellst multivariate Analyse strukturierter, teilstrukturierter sowie unstrukturierter Massendaten (insbes. Data Mining) und Abfragen auf das Data Warehouse (u. a. aus SQL-basierten Datenbanken)
Du bist zuständig für das Monitoring und die Rekalibrierung der entwickelten Modelle.
Wie passt Du in unser Team?
Du hast ein Studium der Mathematik, (Wirtschafts-) Informatik oder eine vergleichbare Ausbildung absolviert oder bist ein Quereinsteiger und kannst mehrjährige Berufserfahrung vorweisen
Du hast schon erste Berufserfahrung als Data Analyst/Data Scientist gesammelt und bist in den Methoden Descriptive Analytics, Predictive Analytics, KDD und Data Mining gut bewandert.
Du bringst idealerweise gute Kenntnisse im Bereich Datenbanken und ERP-Systeme (SQL, Access etc.) sowie gängiger Analysesoftware und Machine Learning mit
Du verfügst über stark analytisches und lösungsorientiertes Denkvermögen und Handeln
Du hast ausgeprägtes mathematisches Verständnis sowie betriebswirtschaftliche Denkweise
Du arbeitest strukturiert und selbständig, mit dem Blick für das Ganze und bist in der Lage die gewonnenen Erkenntnisse dem Kunden überzeugend zu vermitteln
Du bringst gute bis sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift mit
Warum convivo?
Wir lieben es pragmatisch. Du arbeitest in einem agilen Umfeld (Scrum) mit Allem was dazu gehört
Wir sind offen für neue Technologien und nutzen sie, wenn es Sinn macht
Wir haben keine Angst vor großen architektonischen Herausforderungen
Das erwartet Dich bei uns:
Ein erfahrenes und aufgeschlossenes Team mit dem Du deine Ideen und neue Impulse austauschen kannst
Angenehme Arbeitsatmosphäre: Keine Großraumbüros, freie Getränke und Pizzafreitag
Raum für persönliche und professionelle Entwicklung sowie kontinuierliche Verbesserungen in allen Bereichen unseres Unternehmens
Work-Life-Balance: Flexible Arbeitszeiten, Kicker und Beachvolleyball im Sommer
Interessiert?
Wir freuen uns darauf, Dich kennenzulernen! Bitte bewirb Dich mit Deinen vollständigen Bewerbungsunterlagen (Anschreiben, Lebenslauf, Zeugnisse) per E-Mail an Frau Schmidt bei job@convivo.com .
Für weitere Informationen besuche auch unsere Internetseite www.convivo.com
Sparks42 delivers cutting-edge eCommerce and mobile solutions. Our mission is to build Next Generation E-Commerce solutions with a focus on challenging fields such as user experience, recommendations, machine learning, Big Data. Executing and providing agile solutions for content discovery belongs to our core competences. We pride ourselves in being always first to implement and successfully deploy new technologies. Developing innovative E-Commerce and Mobile Commerce technologies with global reach is our passion.
We are now looking for a tech geek who will grow with our well renowned Engineering Team as a Data Engineer (m/f).
Join our young, inquisitive team in the centre of Berlin, and start the Ignition to reinvent E-Commerce with big data.
WHAT YOU WILL DO:
Gain a deep understanding of our business model, data processing and DWH infrastructure
Implement data pipelines and infrastructure for platforms
Design ETL processes, refine (real-time) DWH architectures, build APIs, reports and visualizations
Maintain, optimize and extend our data operations and specifically our warehouse infrastructure using various data processing technologies like MPP databases, distributed processing frameworks, stream processing frameworks
Understand and communicate effectively with internal business customers, partners, and stakeholders
WHAT WE ASK FOR :
You are an expert with minimum 3 years experience in large scale data processing systems, preferably based on open-source systems
Solid software development skills in Java. Python/Scala and Unix shell scripting skills will be a big plus
A passion for designing and operating reliable infrastructure
Experience/Expertise in distributed (real-time) processing frameworks (Spark, Hadoop, Presto, Storm, Flink, Heron etc.), infrastructure frameworks (Docker, Mesos, Kubernetes, AWS) is a strong plus
Ability to communicate effectively with diverse teams
English language fluency
WHAT WE CAN OFFER :
An incredibly talented team of bright, international individuals, always ready to learn, discover and implement
A startup environment with the room to grow on a personal and professional level
A centrally located office in Berlin Mitte
To be part of a fearless pioneer company, in the relentless pursuit of new technological breakthroughs
The opportunity to collaborate with smart and passionate people in building awesome e-commerce products
Challenging global projects. Competitive salary. Exceptional experiences.
Send us your application with the online form and start igniting sparks in E-Commerce !
Interested in this job? Join us!
Contact Person : Benjamin Braun
HR @ S42
27/06/2018
Full time
Sparks42 delivers cutting-edge eCommerce and mobile solutions. Our mission is to build Next Generation E-Commerce solutions with a focus on challenging fields such as user experience, recommendations, machine learning, Big Data. Executing and providing agile solutions for content discovery belongs to our core competences. We pride ourselves in being always first to implement and successfully deploy new technologies. Developing innovative E-Commerce and Mobile Commerce technologies with global reach is our passion.
We are now looking for a tech geek who will grow with our well renowned Engineering Team as a Data Engineer (m/f).
Join our young, inquisitive team in the centre of Berlin, and start the Ignition to reinvent E-Commerce with big data.
WHAT YOU WILL DO:
Gain a deep understanding of our business model, data processing and DWH infrastructure
Implement data pipelines and infrastructure for platforms
Design ETL processes, refine (real-time) DWH architectures, build APIs, reports and visualizations
Maintain, optimize and extend our data operations and specifically our warehouse infrastructure using various data processing technologies like MPP databases, distributed processing frameworks, stream processing frameworks
Understand and communicate effectively with internal business customers, partners, and stakeholders
WHAT WE ASK FOR :
You are an expert with minimum 3 years experience in large scale data processing systems, preferably based on open-source systems
Solid software development skills in Java. Python/Scala and Unix shell scripting skills will be a big plus
A passion for designing and operating reliable infrastructure
Experience/Expertise in distributed (real-time) processing frameworks (Spark, Hadoop, Presto, Storm, Flink, Heron etc.), infrastructure frameworks (Docker, Mesos, Kubernetes, AWS) is a strong plus
Ability to communicate effectively with diverse teams
English language fluency
WHAT WE CAN OFFER :
An incredibly talented team of bright, international individuals, always ready to learn, discover and implement
A startup environment with the room to grow on a personal and professional level
A centrally located office in Berlin Mitte
To be part of a fearless pioneer company, in the relentless pursuit of new technological breakthroughs
The opportunity to collaborate with smart and passionate people in building awesome e-commerce products
Challenging global projects. Competitive salary. Exceptional experiences.
Send us your application with the online form and start igniting sparks in E-Commerce !
Interested in this job? Join us!
Contact Person : Benjamin Braun
HR @ S42
Aperto ist die Right-Service-Agentur für das digitale Zeitalter und Teil von IBM iX. 1995 als Digitalagentur gegründet, bietet Aperto heute die drei Grunddisziplinen Strategie, Kreativität und Technologie aus einer Hand. Das Team von 400 Mitarbeitern entwickelt Marketing- und Kommunikationslösungen sowie neue Produkte und Geschäftsmodelle für den digitalen Wandel. Gemeinsam mit IBM bietet Aperto zudem zukunftsorientierte Services wie Cognitive Computing, Data Analytics oder Marketing Automation. Mit Standorten in Berlin und Basel betreut die Agentur Kunden wie Volkswagen, MAN, Airbus Group, Coca-Cola, Siemens, die Bundesregierung, Migros, Rossmann, KSB, SOS-Kinderdorf und WWF.
Das erwartet dich
Entwicklung von Datenprodukten und -services für unsere Kunden in Zusammenarbeit mit den Business Ownern
Advanced und Predictive Analytics Projekte basierend auf internen, externen, strukturierten sowie unstrukturierten Daten mithilfe von Data-Analytics-Methoden
Visualisierung und Darstellung von Analyseergebnissen (Auswertungen, Analysen und Prognosen) mithilfe von Dashboards, Reports und Präsentationen
Durchführen von mathematischen Analysen auf großen Datenmengen und in komplexen Datenmodellen mittels Software wie R, MATLAB, MS Office sowie anderer analytischer Software
Entwicklung neuer Geschäftsmodelle und innovativer Ansätze zur Gestaltung von maßgeschneiderten Analytics-Lösungen für wirtschaftliche Fragestellungen
Gewinnung und Validierung von Erkenntnissen aus großen Mengen strukturierter und unstrukturierter Daten unter Anwendung von Data-Mining- und Machine-Learning-Techniken
Unterstützung von Workshops, Expertenrunden und Meetings
Enge Zusammenarbeit innerhalb des agilen Projektteams
Das bringst du mit
Erfolgreich abgeschlossenes Bachelor- bzw. Masterstudium in (Wirtschafts-) Informatik, Betriebswirtschaftslehre, Mathematik, Physik oder Statistik oder eines vergleichbaren Studiengangs
Kenntnisse im Bereich Statistik, Datenanalyse und -modellierung (z.B. R, Python, MATLAB oder SPSS) sowie Datenvisualisierung (z.B. Tableau, QlikView, D3js)
Idealerweise Erfahrungen in Datenbankanwendungen (SQL, NoSQL) oder GIS Tools mit (Erfahrungen im Bereich der Visualisierung komplexer Daten sind ein Plus)
Kenntnisse in einer oder mehreren Programmier- und Skriptsprachen wie z. B. C#, C++, Java, JavaScript, PHP
Analytisches Denkvermögen, lösungsorientiertes Vorgehen und eine strukturierte Arbeitsweise
Erste praktische Erfahrung in den Bereichen Machine Learning, Data Mining, Computational Analytics oder Optimierung
Erste praktische Erfahrung bei der Anwendung fortgeschrittener Data-Science-Methoden an Echtdaten im Businesskontext von Vorteil
Spaß am aktiven Wissensaustausch und Idealerweise Erfahrung in der Arbeit mit agilen Teams
Sehr gute Deutsch- und Englischkenntnisse
Das bieten wir dir
Ein Interdisziplinäres, agiles Teams
Zugang zu wegweisenden Technologien als Teil von IBM
Nutzung von Research Ergebnissen und Neuentwicklungen aus den IBM Labs
Interessante Projekte und Großkunden, die zu den Top 10 DAX-Konzernen gehören
Kontinuierliche Weiterbildungsangebote, damit du am digitalen Puls der Zeit bleibst
Eine tolle Atmosphäre und eine offene Unternehmenskultur
Viel Raum für eigene Gestaltungsideen
Wie bewirbt man sich
Bewirb dich bei uns!
Wir wollen dir schnellstmöglich eine Rückmeldung auf deine Bewerbung geben. Bitte nutze dafür unser Online Bewerberportal, um so für einen schnellen Bewerbungsprozess zu sorgen: http://www.aperto.com/de/jobs/Data-Scientist-m-w-berlin0
Melde dich bei Fragen gern telefonisch bei uns - 030-283921-426 - oder schreibe uns eine WhatsApp-Nachricht: 0174 9966805
Wenn Sie sich für diese Stelle bewerben, geben Sie bitte auch 'creativeset' auf Ihrer Bewerbung an.
27/06/2018
Full time
Aperto ist die Right-Service-Agentur für das digitale Zeitalter und Teil von IBM iX. 1995 als Digitalagentur gegründet, bietet Aperto heute die drei Grunddisziplinen Strategie, Kreativität und Technologie aus einer Hand. Das Team von 400 Mitarbeitern entwickelt Marketing- und Kommunikationslösungen sowie neue Produkte und Geschäftsmodelle für den digitalen Wandel. Gemeinsam mit IBM bietet Aperto zudem zukunftsorientierte Services wie Cognitive Computing, Data Analytics oder Marketing Automation. Mit Standorten in Berlin und Basel betreut die Agentur Kunden wie Volkswagen, MAN, Airbus Group, Coca-Cola, Siemens, die Bundesregierung, Migros, Rossmann, KSB, SOS-Kinderdorf und WWF.
Das erwartet dich
Entwicklung von Datenprodukten und -services für unsere Kunden in Zusammenarbeit mit den Business Ownern
Advanced und Predictive Analytics Projekte basierend auf internen, externen, strukturierten sowie unstrukturierten Daten mithilfe von Data-Analytics-Methoden
Visualisierung und Darstellung von Analyseergebnissen (Auswertungen, Analysen und Prognosen) mithilfe von Dashboards, Reports und Präsentationen
Durchführen von mathematischen Analysen auf großen Datenmengen und in komplexen Datenmodellen mittels Software wie R, MATLAB, MS Office sowie anderer analytischer Software
Entwicklung neuer Geschäftsmodelle und innovativer Ansätze zur Gestaltung von maßgeschneiderten Analytics-Lösungen für wirtschaftliche Fragestellungen
Gewinnung und Validierung von Erkenntnissen aus großen Mengen strukturierter und unstrukturierter Daten unter Anwendung von Data-Mining- und Machine-Learning-Techniken
Unterstützung von Workshops, Expertenrunden und Meetings
Enge Zusammenarbeit innerhalb des agilen Projektteams
Das bringst du mit
Erfolgreich abgeschlossenes Bachelor- bzw. Masterstudium in (Wirtschafts-) Informatik, Betriebswirtschaftslehre, Mathematik, Physik oder Statistik oder eines vergleichbaren Studiengangs
Kenntnisse im Bereich Statistik, Datenanalyse und -modellierung (z.B. R, Python, MATLAB oder SPSS) sowie Datenvisualisierung (z.B. Tableau, QlikView, D3js)
Idealerweise Erfahrungen in Datenbankanwendungen (SQL, NoSQL) oder GIS Tools mit (Erfahrungen im Bereich der Visualisierung komplexer Daten sind ein Plus)
Kenntnisse in einer oder mehreren Programmier- und Skriptsprachen wie z. B. C#, C++, Java, JavaScript, PHP
Analytisches Denkvermögen, lösungsorientiertes Vorgehen und eine strukturierte Arbeitsweise
Erste praktische Erfahrung in den Bereichen Machine Learning, Data Mining, Computational Analytics oder Optimierung
Erste praktische Erfahrung bei der Anwendung fortgeschrittener Data-Science-Methoden an Echtdaten im Businesskontext von Vorteil
Spaß am aktiven Wissensaustausch und Idealerweise Erfahrung in der Arbeit mit agilen Teams
Sehr gute Deutsch- und Englischkenntnisse
Das bieten wir dir
Ein Interdisziplinäres, agiles Teams
Zugang zu wegweisenden Technologien als Teil von IBM
Nutzung von Research Ergebnissen und Neuentwicklungen aus den IBM Labs
Interessante Projekte und Großkunden, die zu den Top 10 DAX-Konzernen gehören
Kontinuierliche Weiterbildungsangebote, damit du am digitalen Puls der Zeit bleibst
Eine tolle Atmosphäre und eine offene Unternehmenskultur
Viel Raum für eigene Gestaltungsideen
Wie bewirbt man sich
Bewirb dich bei uns!
Wir wollen dir schnellstmöglich eine Rückmeldung auf deine Bewerbung geben. Bitte nutze dafür unser Online Bewerberportal, um so für einen schnellen Bewerbungsprozess zu sorgen: http://www.aperto.com/de/jobs/Data-Scientist-m-w-berlin0
Melde dich bei Fragen gern telefonisch bei uns - 030-283921-426 - oder schreibe uns eine WhatsApp-Nachricht: 0174 9966805
Wenn Sie sich für diese Stelle bewerben, geben Sie bitte auch 'creativeset' auf Ihrer Bewerbung an.
Frontier Car Group is changing the way used cars are bought and sold in emerging markets. The focus of FCG is to increase efficiency of these markets through technology and infrastructure creation.
At Frontier Car Group you'll work with colleagues highly committed and passionate about what they do. Our teams are proud of their brands and products and are ready to go beyond what is needed to contribute to the company success. Your desire to innovate and experiment will always be encouraged.
We are looking for a senior BI & Analytics engineer that has the ability to grow and lead a newly formed global data team in the heart of Berlin city. You will be a strong leader who can operate autonomously and should have demonstrated experience in Data Warehouse, ETL Design and Development Expertise, Business Intelligence and Analytics.
Key Skills and Experience:
At least 5 years of experience with Data Warehouse ETL design, development and maintenance with successful implementation of large Enterprise BI solutions
Experience in working with RDBMS and NOSQL Databases
Strong technical experience in designing and implementing data-intensive Data Warehouse solutions
Experience in developing complex data transformations using ELT and ETL approach for BI Data Warehouse models
Strong Knowledge of logical and physical data modeling (relational, dimensional data modeling)
Experience in working with Data Warehouse environments and Analytic solutions
Hands on experience working on Windows and Linux environments and UNIX scripting
Excellent Program/Project Management skills, including the successful launch of a program or major project
Expertise with proven analytical techniques on how to apply them to generate insights and recommendations.
Must be self-starter and able to demonstrate experience working in an agile environment to deliver robust & well tested solutions
Strong consulting background and knowledge of Power BI is a plu
Roles & Responsibilities:
Design, implement, and support data warehouse infrastructure using Google Cloud and Azure technologies.
Create ETLs to take data from various operational systems and create a unified dimensional or star schema data model for analytics and reporting
Diagnose the most complex data and analysis problems; identify root issues and develop solutions that serve as models for future best practices.
Influence leaders to make thoughtful data decisions to provide the most consistent and usable data for all teams across the company.
Combine expert knowledge of statistical methodology and analysis with advanced programming skills to support complex analyses.
Perks
Office in the city center of Berlin with a kitchen and game area, and height- adjustable tables
Flexible working hours and option of home office
An international team of smart and enthusiastic people
Open mindset for new technologies and processes
Vibrant team culture
APPLY FOR THIS JOB
26/06/2018
Full time
Frontier Car Group is changing the way used cars are bought and sold in emerging markets. The focus of FCG is to increase efficiency of these markets through technology and infrastructure creation.
At Frontier Car Group you'll work with colleagues highly committed and passionate about what they do. Our teams are proud of their brands and products and are ready to go beyond what is needed to contribute to the company success. Your desire to innovate and experiment will always be encouraged.
We are looking for a senior BI & Analytics engineer that has the ability to grow and lead a newly formed global data team in the heart of Berlin city. You will be a strong leader who can operate autonomously and should have demonstrated experience in Data Warehouse, ETL Design and Development Expertise, Business Intelligence and Analytics.
Key Skills and Experience:
At least 5 years of experience with Data Warehouse ETL design, development and maintenance with successful implementation of large Enterprise BI solutions
Experience in working with RDBMS and NOSQL Databases
Strong technical experience in designing and implementing data-intensive Data Warehouse solutions
Experience in developing complex data transformations using ELT and ETL approach for BI Data Warehouse models
Strong Knowledge of logical and physical data modeling (relational, dimensional data modeling)
Experience in working with Data Warehouse environments and Analytic solutions
Hands on experience working on Windows and Linux environments and UNIX scripting
Excellent Program/Project Management skills, including the successful launch of a program or major project
Expertise with proven analytical techniques on how to apply them to generate insights and recommendations.
Must be self-starter and able to demonstrate experience working in an agile environment to deliver robust & well tested solutions
Strong consulting background and knowledge of Power BI is a plu
Roles & Responsibilities:
Design, implement, and support data warehouse infrastructure using Google Cloud and Azure technologies.
Create ETLs to take data from various operational systems and create a unified dimensional or star schema data model for analytics and reporting
Diagnose the most complex data and analysis problems; identify root issues and develop solutions that serve as models for future best practices.
Influence leaders to make thoughtful data decisions to provide the most consistent and usable data for all teams across the company.
Combine expert knowledge of statistical methodology and analysis with advanced programming skills to support complex analyses.
Perks
Office in the city center of Berlin with a kitchen and game area, and height- adjustable tables
Flexible working hours and option of home office
An international team of smart and enthusiastic people
Open mindset for new technologies and processes
Vibrant team culture
APPLY FOR THIS JOB
For our rapidly growing R&D Center in Berlin Mitte we are looking for a Data Scientist.
Tasks and responsibilities
Participate in cutting edge research in machine intelligence and machine learning applications
Develop solutions for real world, large scale problems
Experiment with novel approaches, some of which might have originated from academic work
Work closely with the backend engineers to design and maintain scalable data models and pipelines
Requirements
Master’s Degree or PhD in Computer Science and/or experience working in Machine Learning or Statistics
Ability to design and execute on research agenda
Excellent communication skills
Fluent in English
Eligibility to work in Germany would be advantageous
Knowledge and Experience
Deep theoretical understanding of Machine Learning and Statistics
Very strong skills in R / Python / Java
Experience working with Big Data and its tools (experience with AWS specifically S3, EMR, Spark)
Experience in predictive analytics and multivariate analysis
Knowledge of common data structures and data visualization techniques
Expertise in using statistical and mathematical methods to analyze large amounts of information
Experience developing Machine Learning models from inception to delivery, and then to production
About us
Feingold Technologies GmbH, Sharecare\\’s Innovation Technology & Products Center in Berlin, is a production grade R&D organization. We develop the future of human behavior technologies and health related systems for the purpose of creating a world class intelligent healthcare platform that anyone can use.
Some of our award winning developments include technologies for detecting stress and emotions from voice and text. We have used these technologies to understand our users’ relationships with their social circles and how these relationships affect their well being, leading us to understand the collective health of large populations.
We are now extending these technologies with the latest in machine learning, sensors and medical research.
Our team has been growing organically, from a collective of friends of friends to a dynamic, multi-skilled, international team of developers and engineers with a great passion for the latest technologies, AI systems, professional but flexible IT solutions.
We are ambitious, proactive, hands-on and result-oriented. For us it’s not just about technology, but also creativity and craft.
What we can offer you
Be part of a dynamic, international and talented team
The opportunity to get deeply involved in the research and development of our products
A high degree of autonomy and flexibility
A stack of the most modern technologies
Flat hierarchies, cross-team collaborations, short and open channels of communication
The chance to learn and grow with regular in-office tech training sessions and participation in conferences
A generous perks and benefits program for all employees.
Apply for this position
26/06/2018
Full time
For our rapidly growing R&D Center in Berlin Mitte we are looking for a Data Scientist.
Tasks and responsibilities
Participate in cutting edge research in machine intelligence and machine learning applications
Develop solutions for real world, large scale problems
Experiment with novel approaches, some of which might have originated from academic work
Work closely with the backend engineers to design and maintain scalable data models and pipelines
Requirements
Master’s Degree or PhD in Computer Science and/or experience working in Machine Learning or Statistics
Ability to design and execute on research agenda
Excellent communication skills
Fluent in English
Eligibility to work in Germany would be advantageous
Knowledge and Experience
Deep theoretical understanding of Machine Learning and Statistics
Very strong skills in R / Python / Java
Experience working with Big Data and its tools (experience with AWS specifically S3, EMR, Spark)
Experience in predictive analytics and multivariate analysis
Knowledge of common data structures and data visualization techniques
Expertise in using statistical and mathematical methods to analyze large amounts of information
Experience developing Machine Learning models from inception to delivery, and then to production
About us
Feingold Technologies GmbH, Sharecare\\’s Innovation Technology & Products Center in Berlin, is a production grade R&D organization. We develop the future of human behavior technologies and health related systems for the purpose of creating a world class intelligent healthcare platform that anyone can use.
Some of our award winning developments include technologies for detecting stress and emotions from voice and text. We have used these technologies to understand our users’ relationships with their social circles and how these relationships affect their well being, leading us to understand the collective health of large populations.
We are now extending these technologies with the latest in machine learning, sensors and medical research.
Our team has been growing organically, from a collective of friends of friends to a dynamic, multi-skilled, international team of developers and engineers with a great passion for the latest technologies, AI systems, professional but flexible IT solutions.
We are ambitious, proactive, hands-on and result-oriented. For us it’s not just about technology, but also creativity and craft.
What we can offer you
Be part of a dynamic, international and talented team
The opportunity to get deeply involved in the research and development of our products
A high degree of autonomy and flexibility
A stack of the most modern technologies
Flat hierarchies, cross-team collaborations, short and open channels of communication
The chance to learn and grow with regular in-office tech training sessions and participation in conferences
A generous perks and benefits program for all employees.
Apply for this position
AUTO1 Group is Europe’s leading car trading platform which connects the automotive industry through technology. We lead business activities in more than 30 European countries and enable dealers and consumers to trade seamlessly via our brands AUTO1.com, wirkaufendeinauto.de and Autohero.
What you will do:
Envision, influence and lead our Data Science efforts to excellence by recruiting, promoting and developing a highly-motivated Data Scientist team that moves the business’s agenda forward
Utilize Big Data and Machine Learning to build predictive models that support decision making processes, customer experience and various business initiatives
Conduct Data Science research on business-critical topics
Ensure that the business stays ahead by promoting innovation and identifying new data sources and products that improve our predictive modeling capabilities
Coordinate cross-functional analytic initiatives and work closely with other data and analytics teams
Manage the development and deployment of the Data Science solutions end-to-end: develop the model, backend support systems and the performant production API of the models
Monitor performance and continuously improve your team’s live production Data Science models
What you should bring:
A Master’s degree in Mathematics, Quantitative Economics, Statistics, Computer Science or similar
Relevant professional experience (+5 years) in the design of Data Science and Machine Learning projects
Deep experience with database systems (SQL, NoSQL, SAS, Spark, Hadoop, queuing systems, …)
Strong background of complex modelling and advanced analytical techniques, including Big Data analysis, predictive and optimization modelling, time series/forecasting analysis
Experience in managing, leading and motivating a team of data analysts in a fast-paced environment
A passion for people management and a high level of English (both written and spoken)
What you will get:
An unlimited contract in one of the most exciting startups in Europe
Relocation support that includes assistance with visa, apartment search, moving costs, etc
Work on previously unsolved challenges and experiment with new technologies
Nice office in the heart of Berlin Kreuzberg
Team and company events like Hackathons international nights, christmas party, soccer, etc.
Sounds interesting? Upload your CV with a note of your salary expectations. Milos Beronja is looking forward to your application.
Contact : Milos Beronja +49 30 201 638 2099
26/06/2018
Full time
AUTO1 Group is Europe’s leading car trading platform which connects the automotive industry through technology. We lead business activities in more than 30 European countries and enable dealers and consumers to trade seamlessly via our brands AUTO1.com, wirkaufendeinauto.de and Autohero.
What you will do:
Envision, influence and lead our Data Science efforts to excellence by recruiting, promoting and developing a highly-motivated Data Scientist team that moves the business’s agenda forward
Utilize Big Data and Machine Learning to build predictive models that support decision making processes, customer experience and various business initiatives
Conduct Data Science research on business-critical topics
Ensure that the business stays ahead by promoting innovation and identifying new data sources and products that improve our predictive modeling capabilities
Coordinate cross-functional analytic initiatives and work closely with other data and analytics teams
Manage the development and deployment of the Data Science solutions end-to-end: develop the model, backend support systems and the performant production API of the models
Monitor performance and continuously improve your team’s live production Data Science models
What you should bring:
A Master’s degree in Mathematics, Quantitative Economics, Statistics, Computer Science or similar
Relevant professional experience (+5 years) in the design of Data Science and Machine Learning projects
Deep experience with database systems (SQL, NoSQL, SAS, Spark, Hadoop, queuing systems, …)
Strong background of complex modelling and advanced analytical techniques, including Big Data analysis, predictive and optimization modelling, time series/forecasting analysis
Experience in managing, leading and motivating a team of data analysts in a fast-paced environment
A passion for people management and a high level of English (both written and spoken)
What you will get:
An unlimited contract in one of the most exciting startups in Europe
Relocation support that includes assistance with visa, apartment search, moving costs, etc
Work on previously unsolved challenges and experiment with new technologies
Nice office in the heart of Berlin Kreuzberg
Team and company events like Hackathons international nights, christmas party, soccer, etc.
Sounds interesting? Upload your CV with a note of your salary expectations. Milos Beronja is looking forward to your application.
Contact : Milos Beronja +49 30 201 638 2099
Funktion : IT
Unternehmensprofil
Für das große Berliner IT Departement eines Kunden suchen wir einen erfahrenen Data Scientist (m/w) der innovative Lösungen im Bereich Machine Learning entwickelt. Wenn Sie bereits Erfahrung in der Entwicklung von praktischen Anwendungen mitbringen und Interesse daran haben Prozesse in einen stark wachsendem Unternehmen aktiv mitzugestalten, freuen wir uns auf einen Austausch.
Aufgabengebiet
Unterstützung beim Aufbau eines Data Science Teams
Aufbau und Training von Künstlicher Intelligenz im Bereich Transaktionen
Bewertungen von Chancen und Risiken im Rahmen des Einsatzes von Machine Learing
Entwicklung von weiteren Andwendungsfeldern
Analyse von großen Datenmengen unter Zuhilfenahme der entwickelten KI
Anforderungsprofil
Hochschulabschluss im Bereich Mathematik, Statistik, Physik, Informatik oder vergleichbar
Mehrjährige Berufserfahrung in der Entwicklung von praxisnahen Lösungen im Bereich Machine Learning
Sehr gute Programmierkenntnisse in Python, R oder Java
Erfahrung im Umgang mit Big Data und der Analyse von komplexen Datensätzen
Profunde Kenntnisse in der statistischen oder mathematischen Optimierung
USP`s
Edge of the art Technology – Digitalisierung aller Businessprozesse
Regelmäßige TechTalks mit Fachexperten
Equipment frei wählbar
Startup Flair in einem renommierten Unternehmen
Im Bereich Charity stark engagiert
Super Teamatmosphäre mit internationalen Kollegen
Sicherer Arbeitsplatz mit guter Work-Life-Balance
Hauseigenes Fitness-Studio mit Wellnessbereich, eigene Kita, eigenes internes Restaurant
Kontakt
Wir freuen uns auf Ihre aussagekräftige Bewerbung unter Angabe Ihrer Gehaltsvorstellung bzw. Tagessatzvorstellung, Kündigungsfrist bzw. Verfügbarkeit und der Referenznummer. Ihre Bewerbung wird an Justus Vieweger weitergeleitet.
Bitte beachten Sie: Um eine schnelle Bearbeitung Ihrer Bewerbung sicherzustellen, bitten wir ausschließlich um Online-Bewerbungen über unsere Homepage.
Job weiterempfehlen
Empfehlen Sie das Jobangebot einem Freund oder Bekannten weiter und verdienen Sie sich im Erfolgsfall die ausgeschriebene Prämie. Diesen Job weiterempfehlen
Onlinebewerbung
Ansprechpartner : Justus Vieweger
24/06/2018
Full time
Funktion : IT
Unternehmensprofil
Für das große Berliner IT Departement eines Kunden suchen wir einen erfahrenen Data Scientist (m/w) der innovative Lösungen im Bereich Machine Learning entwickelt. Wenn Sie bereits Erfahrung in der Entwicklung von praktischen Anwendungen mitbringen und Interesse daran haben Prozesse in einen stark wachsendem Unternehmen aktiv mitzugestalten, freuen wir uns auf einen Austausch.
Aufgabengebiet
Unterstützung beim Aufbau eines Data Science Teams
Aufbau und Training von Künstlicher Intelligenz im Bereich Transaktionen
Bewertungen von Chancen und Risiken im Rahmen des Einsatzes von Machine Learing
Entwicklung von weiteren Andwendungsfeldern
Analyse von großen Datenmengen unter Zuhilfenahme der entwickelten KI
Anforderungsprofil
Hochschulabschluss im Bereich Mathematik, Statistik, Physik, Informatik oder vergleichbar
Mehrjährige Berufserfahrung in der Entwicklung von praxisnahen Lösungen im Bereich Machine Learning
Sehr gute Programmierkenntnisse in Python, R oder Java
Erfahrung im Umgang mit Big Data und der Analyse von komplexen Datensätzen
Profunde Kenntnisse in der statistischen oder mathematischen Optimierung
USP`s
Edge of the art Technology – Digitalisierung aller Businessprozesse
Regelmäßige TechTalks mit Fachexperten
Equipment frei wählbar
Startup Flair in einem renommierten Unternehmen
Im Bereich Charity stark engagiert
Super Teamatmosphäre mit internationalen Kollegen
Sicherer Arbeitsplatz mit guter Work-Life-Balance
Hauseigenes Fitness-Studio mit Wellnessbereich, eigene Kita, eigenes internes Restaurant
Kontakt
Wir freuen uns auf Ihre aussagekräftige Bewerbung unter Angabe Ihrer Gehaltsvorstellung bzw. Tagessatzvorstellung, Kündigungsfrist bzw. Verfügbarkeit und der Referenznummer. Ihre Bewerbung wird an Justus Vieweger weitergeleitet.
Bitte beachten Sie: Um eine schnelle Bearbeitung Ihrer Bewerbung sicherzustellen, bitten wir ausschließlich um Online-Bewerbungen über unsere Homepage.
Job weiterempfehlen
Empfehlen Sie das Jobangebot einem Freund oder Bekannten weiter und verdienen Sie sich im Erfolgsfall die ausgeschriebene Prämie. Diesen Job weiterempfehlen
Onlinebewerbung
Ansprechpartner : Justus Vieweger
We are a breakthrough Fintech startup in Berlin that aims to revolutionize small business financing. We are a team of high-calibre start-up veterans that successfully founded, grew, and sold their first company (founded Zencap, sold to Funding Circle) and are now scaling our next venture. We have a world-class team on the ground and some of the strongest investors in Europe backing our company.
Based on big data analytics, fully digitalized processes and a highly scalable state of the art tech platform, we offer the simplest and fastest way for small businesses to access capital. Our innovative solution provides financing against open invoices of a small businesses – no hidden fees, no paperwork, no boring bank branches. Financing as it should be. Like that, we will make a lasting impact on small businesses that provide jobs and income for millions.
Join us to create the future of small business financing!
ABOUT THE ROLE
As a Data Analyst in the Business Intelligence team, you will answer crucial business questions through data analysis and reports. You will be part of a small team of data analysts and will go through the entire report development process (prototype, feedback, implement, maintain) together with a wide variety of stakeholders across the company. You will answer questions such as “which marketing channels should we spend more money on”, “where do our customers drop out of the funnel and why” or “how does our credit portfolio perform”. Through your analysis, you will inform decisions and shape our product right from the start.
Department: Business Intelligence
Reporting Line: VP BI
Working Hours: Full-Time
Languages: Fluent in English
WHO WE ARE LOOKING FOR
You have an analytical background and hold a degree in quantitative field (we’re happy to talk to you if you’ve got the skills but not the degree)
You already have 1-2 years of experience in data analysis and/or reporting
You have experience using Tableau, Looker or similar reporting and visualization tools
You have good knowledge of SQL
You are a diligent worker and very detail-oriented – cross-checks and sanity checks come naturally to you
Experience with ETL/Data Warehouse concepts is a plus
Experience in online or offline marketing tracking is a plus
Experience thinking about and building a retention-based business is a plus
Domain knowledge of Finance, Accounting or SME businesses is a plus
WHAT WE OFFER YOU
The opportunity to be a part of one of the fastest-growing Fintech startups in Europe
Becoming part of an international team of highly motivated, experienced, and skilled young top performers where hierarchies don\’t matter, but passion and drive do
A great mission – we empower small businesses, the engine of economic growth
You’ll be surrounded by smart people with a wide variety of backgrounds from which you can learn and that also want to learn from you
A great office near Checkpoint Charlie with a free gym, healthy snacks and cereals, fruits, coffee and drinks
Apply for this position
24/06/2018
Full time
We are a breakthrough Fintech startup in Berlin that aims to revolutionize small business financing. We are a team of high-calibre start-up veterans that successfully founded, grew, and sold their first company (founded Zencap, sold to Funding Circle) and are now scaling our next venture. We have a world-class team on the ground and some of the strongest investors in Europe backing our company.
Based on big data analytics, fully digitalized processes and a highly scalable state of the art tech platform, we offer the simplest and fastest way for small businesses to access capital. Our innovative solution provides financing against open invoices of a small businesses – no hidden fees, no paperwork, no boring bank branches. Financing as it should be. Like that, we will make a lasting impact on small businesses that provide jobs and income for millions.
Join us to create the future of small business financing!
ABOUT THE ROLE
As a Data Analyst in the Business Intelligence team, you will answer crucial business questions through data analysis and reports. You will be part of a small team of data analysts and will go through the entire report development process (prototype, feedback, implement, maintain) together with a wide variety of stakeholders across the company. You will answer questions such as “which marketing channels should we spend more money on”, “where do our customers drop out of the funnel and why” or “how does our credit portfolio perform”. Through your analysis, you will inform decisions and shape our product right from the start.
Department: Business Intelligence
Reporting Line: VP BI
Working Hours: Full-Time
Languages: Fluent in English
WHO WE ARE LOOKING FOR
You have an analytical background and hold a degree in quantitative field (we’re happy to talk to you if you’ve got the skills but not the degree)
You already have 1-2 years of experience in data analysis and/or reporting
You have experience using Tableau, Looker or similar reporting and visualization tools
You have good knowledge of SQL
You are a diligent worker and very detail-oriented – cross-checks and sanity checks come naturally to you
Experience with ETL/Data Warehouse concepts is a plus
Experience in online or offline marketing tracking is a plus
Experience thinking about and building a retention-based business is a plus
Domain knowledge of Finance, Accounting or SME businesses is a plus
WHAT WE OFFER YOU
The opportunity to be a part of one of the fastest-growing Fintech startups in Europe
Becoming part of an international team of highly motivated, experienced, and skilled young top performers where hierarchies don\’t matter, but passion and drive do
A great mission – we empower small businesses, the engine of economic growth
You’ll be surrounded by smart people with a wide variety of backgrounds from which you can learn and that also want to learn from you
A great office near Checkpoint Charlie with a free gym, healthy snacks and cereals, fruits, coffee and drinks
Apply for this position
Contentful provides content infrastructure for digital teams to power websites, apps, and devices. Unlike a CMS, Contentful was built to integrate with the modern software stack. It offers a central hub for structured content, powerful management and delivery APIs, and a customizable web app that enables developers and content creators to ship their products faster. Companies like Spotify, Red Bull, Optimizely, Twilio, and Urban Outfitters rely on Contentful to solve the complexities of content management in the modern multi-channel world.
The demand for a new way to manage content is in the numbers: the company is rapidly growing and has raised nearly $50M from VC firms including General Catalyst, Benchmark, Balderton, Point Nine, and Trinity.
We're a fun team of over 150 people from 40 nations with offices in Berlin and San Francisco, looking for more amazing individuals to join our team!
As our Junior Data Analyst, you will work closely with Data Analysts and Data Engineers to provide insights and analyses that drive product and business strategy and decision making. You will be at the heart of building a data-driven company by also sharing your data knowledge and helping stakeholders to become data independent.
ABOUT THE ROLE
You live and breathe data and anything that can be accomplished with it
You contribute to our current set of analytical projects (recurring and ad-hoc analyses, data integrations, tool implementations, data modeling, and dashboards) as well as enhance our data systems
You design and perform data analysis, interpret results and synthesize recommendations
You create, maintain and improve our reports and dashboards as well as data models (in Looker)
As a business partner to product and business functions, you identify trends in our data, provide insights to management, and can communicate with the CxO level; overall, you evangelize the value of data and insights at Contentful
You collaborate with Data Engineers to enhance data structures/infrastructure and to develop data automation solutions
You maintain and share knowledge of data management and data visualization among teams
REQUIREMENTS
You hold a quantitative degree from a top university (computer science, physics, mathematics, statistics, econometrics or other quantitative field)
You have up to 1-2 years of hands-on experience with data analytics
You are familiar with analytics such as user cohort, activity and engagement measurement, marketing & sales analytics
You are fluent in SQL, R and Python are strong advantages
You have experience with data visualization tools (Looker or Tableau skills preferred)
You have an understanding of core data technology concepts (DW, ETL, real-time events collection and storage, etc.)
You have an inquisitive mind, are detail oriented, highly accurate and possess excellent problem-solving and analytical skills
You have excellent communication skills in English
BENEFITS
Join an innovative tech company as we help drive the evolution of digital experiences to become ever-more ubiquitous and interactive. Be a part of helping companies build modern architectures for mission-critical applications
Shape the future of Contentful: help us establish, scale, and improve our team's processes
Generous education budget complete with extra days off to be spent on your professional and self-development
Be set up for success, equipped with the latest and greatest hardware
Hang-out in one of our many shared spaces, playing games with colleagues or enjoying a full range of events, including workshops, on-site meetups, guest speakers, and fun events for the company and each team. Did we mention an annual off-site?
Sharpen your PlayStation, ping pong, and kicker/fußball skills during breaks in the day
As much artisan coffee as you can handle
Brush up your language skills! Our team speaks more than 20 languages, and we offer free German classes
Take a break and pat a pup, we are a dog-friendly office
We fully support your move to Berlin with a relocation budget and visa assistance. We'll help you settle into your exciting new city
Plus, Contentful socks , oh yeah!
“Variety is the spice of life” — and a celebrated component of our culture. At Contentful, we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences and are proud to be an equal opportunity employer: all qualified applicants are considered for positions regardless of race, ethnic origin, gender, age, religion or belief, marital status, gender identification, sexual orientation, or disability. We look forward to your application!
24/06/2018
Full time
Contentful provides content infrastructure for digital teams to power websites, apps, and devices. Unlike a CMS, Contentful was built to integrate with the modern software stack. It offers a central hub for structured content, powerful management and delivery APIs, and a customizable web app that enables developers and content creators to ship their products faster. Companies like Spotify, Red Bull, Optimizely, Twilio, and Urban Outfitters rely on Contentful to solve the complexities of content management in the modern multi-channel world.
The demand for a new way to manage content is in the numbers: the company is rapidly growing and has raised nearly $50M from VC firms including General Catalyst, Benchmark, Balderton, Point Nine, and Trinity.
We're a fun team of over 150 people from 40 nations with offices in Berlin and San Francisco, looking for more amazing individuals to join our team!
As our Junior Data Analyst, you will work closely with Data Analysts and Data Engineers to provide insights and analyses that drive product and business strategy and decision making. You will be at the heart of building a data-driven company by also sharing your data knowledge and helping stakeholders to become data independent.
ABOUT THE ROLE
You live and breathe data and anything that can be accomplished with it
You contribute to our current set of analytical projects (recurring and ad-hoc analyses, data integrations, tool implementations, data modeling, and dashboards) as well as enhance our data systems
You design and perform data analysis, interpret results and synthesize recommendations
You create, maintain and improve our reports and dashboards as well as data models (in Looker)
As a business partner to product and business functions, you identify trends in our data, provide insights to management, and can communicate with the CxO level; overall, you evangelize the value of data and insights at Contentful
You collaborate with Data Engineers to enhance data structures/infrastructure and to develop data automation solutions
You maintain and share knowledge of data management and data visualization among teams
REQUIREMENTS
You hold a quantitative degree from a top university (computer science, physics, mathematics, statistics, econometrics or other quantitative field)
You have up to 1-2 years of hands-on experience with data analytics
You are familiar with analytics such as user cohort, activity and engagement measurement, marketing & sales analytics
You are fluent in SQL, R and Python are strong advantages
You have experience with data visualization tools (Looker or Tableau skills preferred)
You have an understanding of core data technology concepts (DW, ETL, real-time events collection and storage, etc.)
You have an inquisitive mind, are detail oriented, highly accurate and possess excellent problem-solving and analytical skills
You have excellent communication skills in English
BENEFITS
Join an innovative tech company as we help drive the evolution of digital experiences to become ever-more ubiquitous and interactive. Be a part of helping companies build modern architectures for mission-critical applications
Shape the future of Contentful: help us establish, scale, and improve our team's processes
Generous education budget complete with extra days off to be spent on your professional and self-development
Be set up for success, equipped with the latest and greatest hardware
Hang-out in one of our many shared spaces, playing games with colleagues or enjoying a full range of events, including workshops, on-site meetups, guest speakers, and fun events for the company and each team. Did we mention an annual off-site?
Sharpen your PlayStation, ping pong, and kicker/fußball skills during breaks in the day
As much artisan coffee as you can handle
Brush up your language skills! Our team speaks more than 20 languages, and we offer free German classes
Take a break and pat a pup, we are a dog-friendly office
We fully support your move to Berlin with a relocation budget and visa assistance. We'll help you settle into your exciting new city
Plus, Contentful socks , oh yeah!
“Variety is the spice of life” — and a celebrated component of our culture. At Contentful, we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences and are proud to be an equal opportunity employer: all qualified applicants are considered for positions regardless of race, ethnic origin, gender, age, religion or belief, marital status, gender identification, sexual orientation, or disability. We look forward to your application!
As a Quant/Data Scientist (m/f) at Billie you will work on extending and improving our capabilities that lie at the heart of our business: our quantitative risk engines, prediction models, and fraud detection algorithms. The high impact-projects you will be working on will also touch upon many other parts of the company. You will support product managers with in-depth quantitative analyses of customer behaviour, help set up experiments and improve our A/B-testing capabilities, thus enabling important product decisions to be data-driven. Furthermore, you will get the chance to support marketing and sales with analyses, visualizations, statistical models and tools to empower them to make the best decisions about who and when to contact for maximum impact.
To spur innovation in all these areas you will tap into new data sources, assess them for and integrate them into our predictive models. Alongside these tasks you will develop and improve internal data science tools and libraries and constantly improve the performance and quality of internal, data-driven processes. You will join our experienced and high-profile team, work closely with our Chief Risk Officer, the data science team as well as the founders. You will be able to work autonomously and have full ownership of your area of responsibility whilst also working closely with key members of our experienced leadership team.
Department: Risk
Reporting Line: Chief Risk Officer
Working Hours: Full/Part-Time
Languages: English mandatory, German is a plus
Who we are looking for
You hold a University degree within a relevant area (maths, physics, engineering, economics or equivalent with a quantitative focus)
You have 2+ years experience in quantitative risk modeling, statistical modeling or machine learning
You have strong analytical, quantitative and problem-solving skills to master complex, data-driven challenges
You are a self-starter with a strong drive to succeed and are excited to work in a fast-paced, team-oriented environment
You are keen to learn and ready to take on interesting challenges
You are fluent in R or Python (ideally you know your way around the tidyverse)
You practice reproducible research principles (preferably using R Notebooks or Jupyter Notebooks)
You are well experienced in SQL
You know how to wrap models in RESTful APIs to make them available and know about Microservices
You can build quantitative tools in R Shiny (or are willing to learn it)
You know how to build intuitive and effective data visualizations (ideally with ggplot2 and Tableau)
You have the ability and interest to learn new technologies and methods
What are nice-to-haves
You have experience in credit risk modeling for consumer or small business lending
You cover code by tests
You use version control (preferably git)
You know how to build frontends beyond R Shiny and have worked with CSS, Javascript, D3 before
You have worked with Docker before
You know Bayesian statistics
You have experience with natural language processing
What we offer you
The opportunity to be a part of one of the fastest-growing Fintech startups in Europe
Becoming part of an international team of highly motivated, experienced, and skilled young top performers where hierarchies don't matter, but passion and drive do
A great mission - we empower small businesses, the engine of economic growth
A fantastic learning opportunity to develop in the area of quantitative risk modeling
A great office near Checkpoint Charlie with a free gym, healthy snacks and cereals, fruits, coffee and drinks
Kontaktdaten/Ansprechpartner
Daniel Kirsch
Job-Link
daniel@billie.io
Webseite
22/06/2018
Full time
As a Quant/Data Scientist (m/f) at Billie you will work on extending and improving our capabilities that lie at the heart of our business: our quantitative risk engines, prediction models, and fraud detection algorithms. The high impact-projects you will be working on will also touch upon many other parts of the company. You will support product managers with in-depth quantitative analyses of customer behaviour, help set up experiments and improve our A/B-testing capabilities, thus enabling important product decisions to be data-driven. Furthermore, you will get the chance to support marketing and sales with analyses, visualizations, statistical models and tools to empower them to make the best decisions about who and when to contact for maximum impact.
To spur innovation in all these areas you will tap into new data sources, assess them for and integrate them into our predictive models. Alongside these tasks you will develop and improve internal data science tools and libraries and constantly improve the performance and quality of internal, data-driven processes. You will join our experienced and high-profile team, work closely with our Chief Risk Officer, the data science team as well as the founders. You will be able to work autonomously and have full ownership of your area of responsibility whilst also working closely with key members of our experienced leadership team.
Department: Risk
Reporting Line: Chief Risk Officer
Working Hours: Full/Part-Time
Languages: English mandatory, German is a plus
Who we are looking for
You hold a University degree within a relevant area (maths, physics, engineering, economics or equivalent with a quantitative focus)
You have 2+ years experience in quantitative risk modeling, statistical modeling or machine learning
You have strong analytical, quantitative and problem-solving skills to master complex, data-driven challenges
You are a self-starter with a strong drive to succeed and are excited to work in a fast-paced, team-oriented environment
You are keen to learn and ready to take on interesting challenges
You are fluent in R or Python (ideally you know your way around the tidyverse)
You practice reproducible research principles (preferably using R Notebooks or Jupyter Notebooks)
You are well experienced in SQL
You know how to wrap models in RESTful APIs to make them available and know about Microservices
You can build quantitative tools in R Shiny (or are willing to learn it)
You know how to build intuitive and effective data visualizations (ideally with ggplot2 and Tableau)
You have the ability and interest to learn new technologies and methods
What are nice-to-haves
You have experience in credit risk modeling for consumer or small business lending
You cover code by tests
You use version control (preferably git)
You know how to build frontends beyond R Shiny and have worked with CSS, Javascript, D3 before
You have worked with Docker before
You know Bayesian statistics
You have experience with natural language processing
What we offer you
The opportunity to be a part of one of the fastest-growing Fintech startups in Europe
Becoming part of an international team of highly motivated, experienced, and skilled young top performers where hierarchies don't matter, but passion and drive do
A great mission - we empower small businesses, the engine of economic growth
A fantastic learning opportunity to develop in the area of quantitative risk modeling
A great office near Checkpoint Charlie with a free gym, healthy snacks and cereals, fruits, coffee and drinks
Kontaktdaten/Ansprechpartner
Daniel Kirsch
Job-Link
daniel@billie.io
Webseite
Anzahl Mitarbeiter : 30
Kategorie: Werkstudent/in
Vergütung : je nach Qualifikation und Erfahrung
Aufgabengebiet:
Informatik
IT / Telekommunikation
Mathematik
Softwareentwicklung / Programmierung
Wirtschaftsingenieurwesen
Studienrichtung :
Informatik
Mathematik
Technische Informatik
Wirtschaftsingenieurwesen
Wirtschaftswissenschaft
Bildungsabschluss : Bachelor, Master, Diplom
Arbeitssprache : Deutsch, Englisch
Sprachenkenntnisse : Deutsch (fließend in Wort und Schrift), Englisch (gute Kenntnisse)
Die convivo GmbH berät und betreut seit der Gründung im Jahr 1998 zahlreiche Unternehmenskunden aus dem In- und Ausland.
Im Mittelpunkt steht bei convivo die Realisierung ebenso komplexer wie leicht bedienbarer Applikationen für Inter- und Intranet sowie Desktop-Applikationen auf der Basis stabiler, skalierbarer und performanter Backendsysteme.
Du bist Teil eines Scrum Teams und bleibst beim Anblick gewaltiger, ungeordneter Datenmengen ganz cool. Laut CNBC ist deine Arbeit nichts Geringeres als “the sexiest job of the 21st century”.
Aufgabenbeschreibung:
Du bist am gesamten Prozess von der Selektion über die Aufbereitung und Analyse von Daten und KPIs bis zur Entwicklung und Erstellung von Reports und Berichten als Entscheidungsgrundlage beteiligt.
Du unterstützt insbesondere unseren Kunden bei der Analyse und Identifikation wichtiger Trends und Muster.
Du widmest Dich dem KDD-Prozess von der Zieldefinition über Data Mining bis zur Ergebnisinterpretation mit den Fachbereichen und der Visualisierung der Ergebnisse.
Du bist involviert in multivariate Analyse strukturierter, teilstrukturierter sowie unstrukturierter Massendaten (insbes. Data Mining) und Abfragen auf das Data Warehouse (u. a. aus SQL-basierten Datenbanken).
Erwartete Qualifikationen :
Du bist eingeschriebene/r Student/in an einer Hochschule/Uni und studierst (Wirtschafts-) Informatik, Mathematik oder einen vergleichbaren Studiengang.
Du hast erste Erfahrungen als Data Analyst/Data Scientist gesammelt und die Methoden Descriptive Analytics, Predictive Analytics, KDD und Data Mining sind Dir nicht ganz fremd.
Idealerweise hast Du erste Kenntnisse im Bereich Datenbanken und ERP-Systeme (SQL, Access etc.) sowie gängiger Analysesoftware und Machine Learning.
Du hast Spaß an großen Datenmengen und Lust auf Erweiterung Deiner Kenntnisse und Fähigkeiten
Du verfügst über stark analytisches und lösungsorientiertes Denkvermögen und Handeln
Du hast ausgeprägtes mathematisches Verständnis sowie betriebswirtschaftliche Denkweise
Du bringst gute bis sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift mit
Unser Angebot:
Warum convivo?
Wir lieben es pragmatisch. Du arbeitest in einem agilen Umfeld (Scrum) mit Allem was dazu gehört
Wir sind offen für neue Technologien und nutzen sie, wenn es Sinn macht
Wir haben keine Angst vor großen architektonischen Herausforderungen
Das erwartet Dich bei uns :
Ein erfahrenes und aufgeschlossenes Team mit dem Du deine Ideen und neue Impulse austauschen kannst
Angenehme Arbeitsatmosphäre: Keine Großraumbüros, freie Getränke und Pizzafreitag
Raum für persönliche und professionelle Entwicklung sowie kontinuierliche Verbesserungen in allen Bereichen unseres Unternehmens
Work-Life-Balance: Flexible Arbeitszeiten, Kicker und Beachvolleyball im Sommer
Hinweise zur Bewerbung :
Wir freuen uns darauf, Dich kennenzulernen! Bitte bewirb Dich mit Deinen vollständigen Bewerbungsunterlagen (Anschreiben, Lebenslauf, Zeugnisse) per E-Mail an Frau Schmidt bei job@convivo.com . Für weitere Informationen besuche auch unsere Internetseite www.convivo.com .
Kontakt-Person: Xenia Schmidt
Kontakt-Tel .:030 814 733 27
per E-Mail : job@convivo.com
22/06/2018
Internship
Anzahl Mitarbeiter : 30
Kategorie: Werkstudent/in
Vergütung : je nach Qualifikation und Erfahrung
Aufgabengebiet:
Informatik
IT / Telekommunikation
Mathematik
Softwareentwicklung / Programmierung
Wirtschaftsingenieurwesen
Studienrichtung :
Informatik
Mathematik
Technische Informatik
Wirtschaftsingenieurwesen
Wirtschaftswissenschaft
Bildungsabschluss : Bachelor, Master, Diplom
Arbeitssprache : Deutsch, Englisch
Sprachenkenntnisse : Deutsch (fließend in Wort und Schrift), Englisch (gute Kenntnisse)
Die convivo GmbH berät und betreut seit der Gründung im Jahr 1998 zahlreiche Unternehmenskunden aus dem In- und Ausland.
Im Mittelpunkt steht bei convivo die Realisierung ebenso komplexer wie leicht bedienbarer Applikationen für Inter- und Intranet sowie Desktop-Applikationen auf der Basis stabiler, skalierbarer und performanter Backendsysteme.
Du bist Teil eines Scrum Teams und bleibst beim Anblick gewaltiger, ungeordneter Datenmengen ganz cool. Laut CNBC ist deine Arbeit nichts Geringeres als “the sexiest job of the 21st century”.
Aufgabenbeschreibung:
Du bist am gesamten Prozess von der Selektion über die Aufbereitung und Analyse von Daten und KPIs bis zur Entwicklung und Erstellung von Reports und Berichten als Entscheidungsgrundlage beteiligt.
Du unterstützt insbesondere unseren Kunden bei der Analyse und Identifikation wichtiger Trends und Muster.
Du widmest Dich dem KDD-Prozess von der Zieldefinition über Data Mining bis zur Ergebnisinterpretation mit den Fachbereichen und der Visualisierung der Ergebnisse.
Du bist involviert in multivariate Analyse strukturierter, teilstrukturierter sowie unstrukturierter Massendaten (insbes. Data Mining) und Abfragen auf das Data Warehouse (u. a. aus SQL-basierten Datenbanken).
Erwartete Qualifikationen :
Du bist eingeschriebene/r Student/in an einer Hochschule/Uni und studierst (Wirtschafts-) Informatik, Mathematik oder einen vergleichbaren Studiengang.
Du hast erste Erfahrungen als Data Analyst/Data Scientist gesammelt und die Methoden Descriptive Analytics, Predictive Analytics, KDD und Data Mining sind Dir nicht ganz fremd.
Idealerweise hast Du erste Kenntnisse im Bereich Datenbanken und ERP-Systeme (SQL, Access etc.) sowie gängiger Analysesoftware und Machine Learning.
Du hast Spaß an großen Datenmengen und Lust auf Erweiterung Deiner Kenntnisse und Fähigkeiten
Du verfügst über stark analytisches und lösungsorientiertes Denkvermögen und Handeln
Du hast ausgeprägtes mathematisches Verständnis sowie betriebswirtschaftliche Denkweise
Du bringst gute bis sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift mit
Unser Angebot:
Warum convivo?
Wir lieben es pragmatisch. Du arbeitest in einem agilen Umfeld (Scrum) mit Allem was dazu gehört
Wir sind offen für neue Technologien und nutzen sie, wenn es Sinn macht
Wir haben keine Angst vor großen architektonischen Herausforderungen
Das erwartet Dich bei uns :
Ein erfahrenes und aufgeschlossenes Team mit dem Du deine Ideen und neue Impulse austauschen kannst
Angenehme Arbeitsatmosphäre: Keine Großraumbüros, freie Getränke und Pizzafreitag
Raum für persönliche und professionelle Entwicklung sowie kontinuierliche Verbesserungen in allen Bereichen unseres Unternehmens
Work-Life-Balance: Flexible Arbeitszeiten, Kicker und Beachvolleyball im Sommer
Hinweise zur Bewerbung :
Wir freuen uns darauf, Dich kennenzulernen! Bitte bewirb Dich mit Deinen vollständigen Bewerbungsunterlagen (Anschreiben, Lebenslauf, Zeugnisse) per E-Mail an Frau Schmidt bei job@convivo.com . Für weitere Informationen besuche auch unsere Internetseite www.convivo.com .
Kontakt-Person: Xenia Schmidt
Kontakt-Tel .:030 814 733 27
per E-Mail : job@convivo.com
Adikteev is a French digital marketing company that operates in two lines of business: « Adikteev FOR BRANDS », which increases digital brand & product awareness, as well as « Adikteev FOR APPs » which retargets app users and convert them into customers.
The foundation of these lines of business is the combination of Adikteev’s three technologies: Creative technology, artificial intelligence algorithms and mobile DSP.
Adikteev currently has over 110 employees, 30% of them contribute to the R&D of the company.
Aside from growing rapidly, the company has been generating double-digit million-euro revenues.
It is based in Paris (France), Berlin (Germany), New York City and San Francisco (USA).
Adikteev received many international rewards :
2017 Deloitte Extenso Fast 50 — an award that recognizes tech companies that have demonstrated exceptional growth in turnover in the last 4 years: o Adikteev is ranked 2nd in best tech companies in France; 1st in Ile-de- France, and 1st in the area of “Internet, Media & Telecoms.”
Deloitte Extenso Fast 500 EMEA: Adikteev is ranked 12th amongst 500 best tech companies in EMEA.
Adikteev is ranked 10th in Inc Magazine’s 5000 Europe — an annual list that identifies the top 5000 fastest growing private companies in Europe.
According to EY, Adikteev is listed as the 8th most outstanding French Startup.
French Tech Pass: Adikteev is listed in FrenchWeb’s top 100 best French tech companies.
Adikteev is recognized as a member of “BPI France Excellence.”
Adikteev has been rewarded the label “Happy At Work.”
What you will do
Adikteev is now looking for a talented Data Scientist to join the Data Science team in Berlin. Your role as a key member of the team will be to work hand-in-hand with the Data Science team in Paris to build data-intensive models that boost performance and address business opportunities.
With a terabyte of external data per day and over 1 million incoming requests per second, Big Data is not an empty promise at Adikteev. To tackle this complexity, our computational advertising technology relies on an algorithmic approach that puts Data Science at the core of our business. As the centers of innovation and scientific excellence of the company, the Data Science teams focus on applied research to improve continuously the existing approaches and to deliver out-of-the-box models in order to maximize the performance of our campaigns. Examples of research topics include conversion prediction, pacing algorithms, recommender systems, auction theory, reinforcement learning, etc.
Your Responsibilities
As a member of the Data Science team, you will work on data-intensive algorithms that require to be scalable and high-performing and address business opportunities;
You will research, design, prototype and develop cutting-edge real-time-bidding algorithms based on your mathematical knowledge and innovative ideas;
You will crunch vast amounts of data in order to extract valuable insights and to identify new product opportunities and model improvements;
You will develop high-performance algorithms in scalable and product-ready code and ultimately put them into production in close collaboration with our Data Engineering team;
As part of the Data Science team, you will mentor team members, provide expertise on the algorithmic approach and inspire scientific rigor to the entire organization.
What we are looking for
Your Skills
Master's degree in a quantitative field with emphasis on applied mathematics, statistics or machine learning;
Excellent analytical skills and strong knowledge of probability, statistics and optimization;
Experience with applied research and designing out-of-the-box models;
Creative, curious and proactive;
Strong programming skills with languages such as Python, R, Scala, and skillset in SQL;
Initial experience in working with distributed systems (e.g. Spark and Scala);
Loves teamwork and has great communication skills.
Additional Information
Contract type: Full-Time
Start date: 20 February 2018
Education Level: Master's Degree
Experience Level: > 1 year
Apply Now
22/06/2018
Full time
Adikteev is a French digital marketing company that operates in two lines of business: « Adikteev FOR BRANDS », which increases digital brand & product awareness, as well as « Adikteev FOR APPs » which retargets app users and convert them into customers.
The foundation of these lines of business is the combination of Adikteev’s three technologies: Creative technology, artificial intelligence algorithms and mobile DSP.
Adikteev currently has over 110 employees, 30% of them contribute to the R&D of the company.
Aside from growing rapidly, the company has been generating double-digit million-euro revenues.
It is based in Paris (France), Berlin (Germany), New York City and San Francisco (USA).
Adikteev received many international rewards :
2017 Deloitte Extenso Fast 50 — an award that recognizes tech companies that have demonstrated exceptional growth in turnover in the last 4 years: o Adikteev is ranked 2nd in best tech companies in France; 1st in Ile-de- France, and 1st in the area of “Internet, Media & Telecoms.”
Deloitte Extenso Fast 500 EMEA: Adikteev is ranked 12th amongst 500 best tech companies in EMEA.
Adikteev is ranked 10th in Inc Magazine’s 5000 Europe — an annual list that identifies the top 5000 fastest growing private companies in Europe.
According to EY, Adikteev is listed as the 8th most outstanding French Startup.
French Tech Pass: Adikteev is listed in FrenchWeb’s top 100 best French tech companies.
Adikteev is recognized as a member of “BPI France Excellence.”
Adikteev has been rewarded the label “Happy At Work.”
What you will do
Adikteev is now looking for a talented Data Scientist to join the Data Science team in Berlin. Your role as a key member of the team will be to work hand-in-hand with the Data Science team in Paris to build data-intensive models that boost performance and address business opportunities.
With a terabyte of external data per day and over 1 million incoming requests per second, Big Data is not an empty promise at Adikteev. To tackle this complexity, our computational advertising technology relies on an algorithmic approach that puts Data Science at the core of our business. As the centers of innovation and scientific excellence of the company, the Data Science teams focus on applied research to improve continuously the existing approaches and to deliver out-of-the-box models in order to maximize the performance of our campaigns. Examples of research topics include conversion prediction, pacing algorithms, recommender systems, auction theory, reinforcement learning, etc.
Your Responsibilities
As a member of the Data Science team, you will work on data-intensive algorithms that require to be scalable and high-performing and address business opportunities;
You will research, design, prototype and develop cutting-edge real-time-bidding algorithms based on your mathematical knowledge and innovative ideas;
You will crunch vast amounts of data in order to extract valuable insights and to identify new product opportunities and model improvements;
You will develop high-performance algorithms in scalable and product-ready code and ultimately put them into production in close collaboration with our Data Engineering team;
As part of the Data Science team, you will mentor team members, provide expertise on the algorithmic approach and inspire scientific rigor to the entire organization.
What we are looking for
Your Skills
Master's degree in a quantitative field with emphasis on applied mathematics, statistics or machine learning;
Excellent analytical skills and strong knowledge of probability, statistics and optimization;
Experience with applied research and designing out-of-the-box models;
Creative, curious and proactive;
Strong programming skills with languages such as Python, R, Scala, and skillset in SQL;
Initial experience in working with distributed systems (e.g. Spark and Scala);
Loves teamwork and has great communication skills.
Additional Information
Contract type: Full-Time
Start date: 20 February 2018
Education Level: Master's Degree
Experience Level: > 1 year
Apply Now
Ada’s marketing team is building a globally known and trusted brand, reaching millions of new users around the world to make Ada the most used medical app. Members of the marketing team have a direct and measurable impact on Ada’s goal of improving access to credible health information and care for all.
As Data Engineer, you will work with the marketing team to scale on reporting, improve dashboards, and build new data-driven tools. This will facilitate operational processes and the execution of our acquisition strategy on a global scale.
You will report directly to our Senior Performance Marketing Manager. Key responsibilities include, but are not limited to:
Extracting and analyzing data and drawing actionable insights to inform decision-making
Building and maintaining reporting tools and analytical solutions
Building and maintaining the entire ETL process for new data imports
Consolidating and modelling data from different sources to streamline data
REQUIREMENTS
Solid understanding of SQL, including complex queries and optimization (Postgres, MySQL, BigQuery)
Knowledge of Data Studio and/or Tableau
Experience with analytics and attribution platforms such as Adjust, Google Analytics and Amplitude
Experience with Python, JavaScript, R, or another scripting language
Experience with machine learning (supervised and unsupervised)
Proven track record making a business impact using analytical and statistical tools
You are team-oriented, ambitious and hard-working
BENEFITS
The opportunity to work for one of Europe’s most exciting startups
A sunny loft office in Berlin’s startup hotspot, Kreuzberg
Social activities such as parties and after-work gatherings
Awesome drinks and healthy snacks
Free German language classes at the office
A diverse team of smart, friendly, purpose-driven people
Competitive salary and leave entitlements
Apply for this job
21/06/2018
Full time
Ada’s marketing team is building a globally known and trusted brand, reaching millions of new users around the world to make Ada the most used medical app. Members of the marketing team have a direct and measurable impact on Ada’s goal of improving access to credible health information and care for all.
As Data Engineer, you will work with the marketing team to scale on reporting, improve dashboards, and build new data-driven tools. This will facilitate operational processes and the execution of our acquisition strategy on a global scale.
You will report directly to our Senior Performance Marketing Manager. Key responsibilities include, but are not limited to:
Extracting and analyzing data and drawing actionable insights to inform decision-making
Building and maintaining reporting tools and analytical solutions
Building and maintaining the entire ETL process for new data imports
Consolidating and modelling data from different sources to streamline data
REQUIREMENTS
Solid understanding of SQL, including complex queries and optimization (Postgres, MySQL, BigQuery)
Knowledge of Data Studio and/or Tableau
Experience with analytics and attribution platforms such as Adjust, Google Analytics and Amplitude
Experience with Python, JavaScript, R, or another scripting language
Experience with machine learning (supervised and unsupervised)
Proven track record making a business impact using analytical and statistical tools
You are team-oriented, ambitious and hard-working
BENEFITS
The opportunity to work for one of Europe’s most exciting startups
A sunny loft office in Berlin’s startup hotspot, Kreuzberg
Social activities such as parties and after-work gatherings
Awesome drinks and healthy snacks
Free German language classes at the office
A diverse team of smart, friendly, purpose-driven people
Competitive salary and leave entitlements
Apply for this job
