Introduction
Hours: 40
Salary: £50,840 to £72,436 per annum plus bonus and benefits on a permanent, 35-hour contract.
Send in your application by 30th April 2019.
The Analytics Hub sits in a new, data-led community that provides analytic and data science-based solutions to all areas of Nationwide. We solve real business problems, improve customer experience and drive efficiency. It’s an exciting time to join as the demand for innovation and analytics is increasing, so you’ll be able to grow with us in a fast-paced, dynamic environment.
What you'll be doing
Working within the Agile framework, and a hub-and-spoke data science model, you will collaborate with different communities to understand the difficulties they face and identify improvements. You’ll develop new analytics use cases for the team to deliver and work collaboratively with both the data engineering teams and business stakeholders to understand how data can be used to support use case delivery. The data you use will be varied and multi-faceted, and the insights you generate along the way will prove invaluable. We are constantly looking to utilise more varied structured, semi-structured and unstructured data sources to bring additional dimensions into our analysis. A key part of your role will be to seek out those sources and spot opportunities. Comfortable working with senior business leaders, you’ll build relationships across the Society, creating compelling data driven stories to support your outputs and findings. We are currently investing in a new Big Data platform based on Hortonworks Hadoop, Teradata and Open Source tooling. We’ll use this technology to develop a strong data science capability and you will be at the forefront of early adopters looking to embrace and grow this capability.
Who we're looking for
We’re looking for a data scientist with a specialism in analytics who is enthusiastic, proactive and ready to bring fresh ideas and methods to the team. As a minimum, you’ll:
Be a fluent communicator
Have experience with databases and SQL as well as processing unstructured data
Have expertise using Python/R
Have a Masters or PhD in maths, statistics, computer science, physics, economics or related field.
Have knowledge of linear algebra, high order statistics and machine learning algorithms such as Support Vector Machines, Random Forest, Artificial Neural networks
Hadoop, PySpark, Natural Language Processing or Deep learning experience would be beneficial
Experience interpreting outputs of models and building visualizations to depict your interpretations
Have completed end-to-end analytical pieces of work, bringing the output to life through compelling story telling to ensure business adoption.
Be innovative, creative and agile, developing and championing new ideas, spotting opportunities, and learning fast along the way.
Experience of SAS EM, VA/VS would be beneficial
Experience of productionising models would be beneficial
The extras you'll get
Feeling as though you belong means being valued, recognised and rewarded. We aim to give our people a good work-life balance, so you’ll receive your schedule in advance, helping you to organise your life. We show our support through the recognition and rewards scheme we offer:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23%
Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to a healthcare scheme
Access to an annual performance related bonus scheme
Interested?
Apply online via the 'Apply now' button.
22/03/2019
Full time
Introduction
Hours: 40
Salary: £50,840 to £72,436 per annum plus bonus and benefits on a permanent, 35-hour contract.
Send in your application by 30th April 2019.
The Analytics Hub sits in a new, data-led community that provides analytic and data science-based solutions to all areas of Nationwide. We solve real business problems, improve customer experience and drive efficiency. It’s an exciting time to join as the demand for innovation and analytics is increasing, so you’ll be able to grow with us in a fast-paced, dynamic environment.
What you'll be doing
Working within the Agile framework, and a hub-and-spoke data science model, you will collaborate with different communities to understand the difficulties they face and identify improvements. You’ll develop new analytics use cases for the team to deliver and work collaboratively with both the data engineering teams and business stakeholders to understand how data can be used to support use case delivery. The data you use will be varied and multi-faceted, and the insights you generate along the way will prove invaluable. We are constantly looking to utilise more varied structured, semi-structured and unstructured data sources to bring additional dimensions into our analysis. A key part of your role will be to seek out those sources and spot opportunities. Comfortable working with senior business leaders, you’ll build relationships across the Society, creating compelling data driven stories to support your outputs and findings. We are currently investing in a new Big Data platform based on Hortonworks Hadoop, Teradata and Open Source tooling. We’ll use this technology to develop a strong data science capability and you will be at the forefront of early adopters looking to embrace and grow this capability.
Who we're looking for
We’re looking for a data scientist with a specialism in analytics who is enthusiastic, proactive and ready to bring fresh ideas and methods to the team. As a minimum, you’ll:
Be a fluent communicator
Have experience with databases and SQL as well as processing unstructured data
Have expertise using Python/R
Have a Masters or PhD in maths, statistics, computer science, physics, economics or related field.
Have knowledge of linear algebra, high order statistics and machine learning algorithms such as Support Vector Machines, Random Forest, Artificial Neural networks
Hadoop, PySpark, Natural Language Processing or Deep learning experience would be beneficial
Experience interpreting outputs of models and building visualizations to depict your interpretations
Have completed end-to-end analytical pieces of work, bringing the output to life through compelling story telling to ensure business adoption.
Be innovative, creative and agile, developing and championing new ideas, spotting opportunities, and learning fast along the way.
Experience of SAS EM, VA/VS would be beneficial
Experience of productionising models would be beneficial
The extras you'll get
Feeling as though you belong means being valued, recognised and rewarded. We aim to give our people a good work-life balance, so you’ll receive your schedule in advance, helping you to organise your life. We show our support through the recognition and rewards scheme we offer:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23%
Life assurance worth 8x your salary
24 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to a healthcare scheme
Access to an annual performance related bonus scheme
Interested?
Apply online via the 'Apply now' button.
Hours: 40
Salary: £53,694- £87,253 a year
Introduction
We need:
Data Analysis and Design Lead in our Head office in Swindon
Salary £53,694- £87,253 a year (dependent on current salary and banding) based on a permanent, 35 hours per week contract plus company car or cash allowance
We’re moving forward into the next chapter of our Society’s history with a refreshed strategy that allows us to leverage the benefits of mutuality and adapt to the ever-changing needs of our members. Data underpins this and all five of our cornerstones and is a great enabler towards achieving our ambition of building society, nationwide. We’re transforming the way we collect, look after and use member and business data, and that is why we’re creating new roles as an important step in strengthening the data competence we need to realise the opportunity that data presents for our members and colleagues. The Data & Analytics community is responsible for transforming our data and analytics capability to enable our colleagues to better serve our members’ needs. Within the community, the Data and Analytics Solutions team is responsible for the design, engineering, test and deployment of our data platforms and solutions which are at the core of our strategic ambitions. We’re significantly expanding and strengthening our inhouse teams and working closely with key strategic partners to deliver our strategic ambitions. An exciting opportunity has now arisen to join the growing Data Solutions team as the Data Analysis and Design Lead. You’ll be joining us at an exciting time and will have a huge opportunity to help shape our community as we expand our operations and deliver our strategy.
Who we're looking for
As a minimum requirement, you’ll :
Be typically educated to degree level with significant proven experience in leading data analysis and design teams in a reporting and analytics environment using relevant technologies
Have proven experience at a senior level in a data analysis and design role with multiple objectives and clients.
Extensive experience of hybrid lake and data warehouse architectures and open source technologies.
Extensive financial services experience.
Have line management experience of managing teams operating at specialist/management level and be used to leading teams through periods of complex change
Be highly resilient with the ability to handle conflict and pressure
Have proven ability to communicate and influence at all levels and engage confidently with Senior Executives.
Demonstrate proven experience of managing and improving supplier performance
Possess a detailed knowledge of current and future technologies relevant to Nationwide’s needs
Have excellent negotiation and facilitation skills
Demonstrate the ability to react with pace to changing demand
It would be nice if you also had:
Experience in Teradata, Informatica and Hadoop
Be able to evidence knowledge of project management methodologies and frameworks
What you'll be doing
Reporting to the Director of Data & Analytics Solutions, your role will be to develop and implement designs and related working practices to transform Nationwide’s reporting and analytics capabilities in line with both the Data & Analytics Strategy and the IT Strategy whilst continuing to meet regulatory and business demand. The role will lead and develop a team of specialist data analysts and designers and is accountable for the integrity of delivery within your area and for providing consultancy and support services.
Key accountabilities will be:
Take ownership and lead the design of our strategic data and analytics platforms to transform Nationwide’s data and analytics capabilities.
Drive innovation through a deep understanding of technology trends and drivers and their application to our business needs.
Accountable for the design and technical analysis strategy in collaboration with Enterprise and Programme Architecture.
Accountable for establishing and operating effective governance on solutions to ensure all designs are aligned to the Data & Analytics Strategy, IT Strategy and technical blueprint.
Line management of up to 20 direct reports and responsible for contract, supplier, practice resource quality and compliance (on-shore and offshore, up to an additional 50 resources).
Accountable for resourcing and building the capabilities within the Data Analysis and Solutions Design team.
Additionally, accountable for ensuring a large and complex strategic programme/project portfolio aligns to our strategies through :
Accountability for High Level and Detailed Designs
Accountable for developing detailed, accurate and clear data requirements
Accountable for the production and review of designs and technical requirement across all environments, using expert domain knowledge.
Accountable for production and validation of estimates and quotes and driving value from suppliers
The extras you'll get
If you put a lot in, it’s only fair you should get a lot out. So, if you help us do the right thing for our members, we’ll help further your career with us.
As part of our team you’ll get:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23%
Life assurance worth 8x your salary
30 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to a Healthcare scheme
Access to an annual performance related bonus scheme
Company car or allowance worth £4,656 a year
Interested?
You can apply via the ''Apply now'' button.
22/03/2019
Full time
Hours: 40
Salary: £53,694- £87,253 a year
Introduction
We need:
Data Analysis and Design Lead in our Head office in Swindon
Salary £53,694- £87,253 a year (dependent on current salary and banding) based on a permanent, 35 hours per week contract plus company car or cash allowance
We’re moving forward into the next chapter of our Society’s history with a refreshed strategy that allows us to leverage the benefits of mutuality and adapt to the ever-changing needs of our members. Data underpins this and all five of our cornerstones and is a great enabler towards achieving our ambition of building society, nationwide. We’re transforming the way we collect, look after and use member and business data, and that is why we’re creating new roles as an important step in strengthening the data competence we need to realise the opportunity that data presents for our members and colleagues. The Data & Analytics community is responsible for transforming our data and analytics capability to enable our colleagues to better serve our members’ needs. Within the community, the Data and Analytics Solutions team is responsible for the design, engineering, test and deployment of our data platforms and solutions which are at the core of our strategic ambitions. We’re significantly expanding and strengthening our inhouse teams and working closely with key strategic partners to deliver our strategic ambitions. An exciting opportunity has now arisen to join the growing Data Solutions team as the Data Analysis and Design Lead. You’ll be joining us at an exciting time and will have a huge opportunity to help shape our community as we expand our operations and deliver our strategy.
Who we're looking for
As a minimum requirement, you’ll :
Be typically educated to degree level with significant proven experience in leading data analysis and design teams in a reporting and analytics environment using relevant technologies
Have proven experience at a senior level in a data analysis and design role with multiple objectives and clients.
Extensive experience of hybrid lake and data warehouse architectures and open source technologies.
Extensive financial services experience.
Have line management experience of managing teams operating at specialist/management level and be used to leading teams through periods of complex change
Be highly resilient with the ability to handle conflict and pressure
Have proven ability to communicate and influence at all levels and engage confidently with Senior Executives.
Demonstrate proven experience of managing and improving supplier performance
Possess a detailed knowledge of current and future technologies relevant to Nationwide’s needs
Have excellent negotiation and facilitation skills
Demonstrate the ability to react with pace to changing demand
It would be nice if you also had:
Experience in Teradata, Informatica and Hadoop
Be able to evidence knowledge of project management methodologies and frameworks
What you'll be doing
Reporting to the Director of Data & Analytics Solutions, your role will be to develop and implement designs and related working practices to transform Nationwide’s reporting and analytics capabilities in line with both the Data & Analytics Strategy and the IT Strategy whilst continuing to meet regulatory and business demand. The role will lead and develop a team of specialist data analysts and designers and is accountable for the integrity of delivery within your area and for providing consultancy and support services.
Key accountabilities will be:
Take ownership and lead the design of our strategic data and analytics platforms to transform Nationwide’s data and analytics capabilities.
Drive innovation through a deep understanding of technology trends and drivers and their application to our business needs.
Accountable for the design and technical analysis strategy in collaboration with Enterprise and Programme Architecture.
Accountable for establishing and operating effective governance on solutions to ensure all designs are aligned to the Data & Analytics Strategy, IT Strategy and technical blueprint.
Line management of up to 20 direct reports and responsible for contract, supplier, practice resource quality and compliance (on-shore and offshore, up to an additional 50 resources).
Accountable for resourcing and building the capabilities within the Data Analysis and Solutions Design team.
Additionally, accountable for ensuring a large and complex strategic programme/project portfolio aligns to our strategies through :
Accountability for High Level and Detailed Designs
Accountable for developing detailed, accurate and clear data requirements
Accountable for the production and review of designs and technical requirement across all environments, using expert domain knowledge.
Accountable for production and validation of estimates and quotes and driving value from suppliers
The extras you'll get
If you put a lot in, it’s only fair you should get a lot out. So, if you help us do the right thing for our members, we’ll help further your career with us.
As part of our team you’ll get:
Access to training to help you progress and develop your technical skills and career
Pension scheme where if you pay in 7% we’ll top it up to 23%
Life assurance worth 8x your salary
30 days’ holiday plus bank holidays
The ability to 'buy’ up to 10 days more holiday
Flexible benefits scheme giving you access to discount vouchers at various retail outlets
Access to a Healthcare scheme
Access to an annual performance related bonus scheme
Company car or allowance worth £4,656 a year
Interested?
You can apply via the ''Apply now'' button.
Agil, lösungsorientiert und technologisch interessiert – das beschreibt Sie mehr als gut? Und Ihr technisches Können steht Ihrer persönlichen Kompetenz in Nichts nach, denn Sie wissen, dass Teamplay & Kommunikation mehr als die Hälfte des Weges sind? Perfekte Voraussetzungen, um uns in Sachen Big Data einen ordentlichen Schub nach vorne zu geben! Jump on.
Ihre Aufgaben
Geht es um operative und strategische Entscheidungen über die ganze Bandbreite des Bankengeschäfts, machen Sie uns mit smarten Analysen, Lösungen und Tools das Leben leichter. Konkret: Sie betreuen und entwickeln containerisierte Lösungen für den Elastic Stack, das zentrale Log File Monitoring und zur Analyse von Metriken. Abhängigkeiten zu anderen Prozessen und Systemen haben Sie dabei stets auf dem Schirm und unterstützen so optimal das Requirements Engineering, die Strukturierung von Arbeitspaketen sowie deren Bewertung. Nicht zuletzt übernehmen Sie gerne die Projektverantwortung im Rahmen unserer agilen Arbeitsweise nach Scrum oder Kanban und sind dabei immer eng mit den jeweiligen Fachbereichen vernetzt – auch auf internationaler Ebene.
Ihr Profil
Erfahrung im Umgang mit Kubernetes/OpenShift/Elastic Stack und Linux sowie Kenntnisse in Kafka und Streaming
Praxis im Systemmonitoring, Interesse an hochverfügbaren verteilten Clusterlösungen sowie versiert in der DevOps-Methodik im Kontext Konfigurationsmanagement und CI
Idealerweise fit in Prometheus, Ansible, Jenkins, Groovy, Job DSL, Unix Shell sowie automatisiertem Testing
Grunderfahrung in agiler Entwicklung (Scrum, Kanban, Spotify Agile) und in professionellen Entwicklungsworkflows
Empathischer aber auch durchsetzungsstarker und strategisch denkender Teamplayer
Sehr gutes Deutsch & Englisch, schriftlich wie mündlich
Bewerben Sie sich jetzt online bei Deutschlands drittgrößter Privatkundenbank: ing.de/karriere
22/03/2019
Full time
Agil, lösungsorientiert und technologisch interessiert – das beschreibt Sie mehr als gut? Und Ihr technisches Können steht Ihrer persönlichen Kompetenz in Nichts nach, denn Sie wissen, dass Teamplay & Kommunikation mehr als die Hälfte des Weges sind? Perfekte Voraussetzungen, um uns in Sachen Big Data einen ordentlichen Schub nach vorne zu geben! Jump on.
Ihre Aufgaben
Geht es um operative und strategische Entscheidungen über die ganze Bandbreite des Bankengeschäfts, machen Sie uns mit smarten Analysen, Lösungen und Tools das Leben leichter. Konkret: Sie betreuen und entwickeln containerisierte Lösungen für den Elastic Stack, das zentrale Log File Monitoring und zur Analyse von Metriken. Abhängigkeiten zu anderen Prozessen und Systemen haben Sie dabei stets auf dem Schirm und unterstützen so optimal das Requirements Engineering, die Strukturierung von Arbeitspaketen sowie deren Bewertung. Nicht zuletzt übernehmen Sie gerne die Projektverantwortung im Rahmen unserer agilen Arbeitsweise nach Scrum oder Kanban und sind dabei immer eng mit den jeweiligen Fachbereichen vernetzt – auch auf internationaler Ebene.
Ihr Profil
Erfahrung im Umgang mit Kubernetes/OpenShift/Elastic Stack und Linux sowie Kenntnisse in Kafka und Streaming
Praxis im Systemmonitoring, Interesse an hochverfügbaren verteilten Clusterlösungen sowie versiert in der DevOps-Methodik im Kontext Konfigurationsmanagement und CI
Idealerweise fit in Prometheus, Ansible, Jenkins, Groovy, Job DSL, Unix Shell sowie automatisiertem Testing
Grunderfahrung in agiler Entwicklung (Scrum, Kanban, Spotify Agile) und in professionellen Entwicklungsworkflows
Empathischer aber auch durchsetzungsstarker und strategisch denkender Teamplayer
Sehr gutes Deutsch & Englisch, schriftlich wie mündlich
Bewerben Sie sich jetzt online bei Deutschlands drittgrößter Privatkundenbank: ing.de/karriere
Bertelsmann Data Science Program – MEDIA N
We are inviting you to join MEDIA N , our international data science rotational program. During the year-long program, you will be involved in implementing a number of data-related projects throughout various Bertelsmann divisions worldwide. You will gain insight from top data experts into the wide array of our digital business models within media, services and for-profit education. Join our growing data community and add your experience, knowledge and vision to our data-driven philosophy.
What you should bring:
M.Sc. or Ph.D. in a quantitative field such as Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, Physics or related topics
Advanced knowledge of standard methods across the entire data science pipeline
Proven experience working with data science (via internships, research projects, etc.)
Problem-solving mindset with strong relationship building, collaborative and communication skills
Strong knowledge of machine learning methods
Solid programming skills in Python and R; additional programming languages such as SAS, Scala, Spark, C/C++ and/or Java are a plus
Knowledge of databases, database concepts, database design and related languages / tools such as SQL, NoSQL, Hive, etc.
Experience with mining massive data sets (ex. with Hadoop) and visual storytelling expertise are a plus
Geographic flexibility; travel and relocation will be required
Foreign languages are a plus
What you‘ll be doing:
Design new data products and develop big data capabilities in order to address business model challenges and offer solutions
Collaborate with international teams to drive usage and adoption of new data products and capabilities
Use and further enhance machine learning methods and tools
Understand and leverage new data sources and integrate traditional structured data with raw data from websites, social media and third parties
Model and frame business scenarios that are meaningful and impact critical business decisions
Support change within the organization
Please apply online, as we do not consider applications submitted by mail, fax, or e-mail. We welcome applications from people who will contribute to the diversity of our company. For more information about the program visit:
https://data-science-bertelsmann.com/
Introducing ourselves:
Bertelsmann is a media, services and education company that operates in about 50 countries around the world. It includes the broadcaster RTL Group, the trade book publisher Penguin Random House, the magazine publisher Gruner + Jahr, the music company BMG, the service provider Arvato, the Bertelsmann Printing Group, the Bertelsmann Education Group and Bertelsmann Investments, an international network of funds. The company has 119,000 employees and generated revenues of €17.2 billion in the 2017 financial year. Bertelsmann stands for entrepreneurship and creativity. This combination promotes first-class media content and innovative service solutions that inspire customers around the world.
15/03/2019
Full time
Bertelsmann Data Science Program – MEDIA N
We are inviting you to join MEDIA N , our international data science rotational program. During the year-long program, you will be involved in implementing a number of data-related projects throughout various Bertelsmann divisions worldwide. You will gain insight from top data experts into the wide array of our digital business models within media, services and for-profit education. Join our growing data community and add your experience, knowledge and vision to our data-driven philosophy.
What you should bring:
M.Sc. or Ph.D. in a quantitative field such as Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, Physics or related topics
Advanced knowledge of standard methods across the entire data science pipeline
Proven experience working with data science (via internships, research projects, etc.)
Problem-solving mindset with strong relationship building, collaborative and communication skills
Strong knowledge of machine learning methods
Solid programming skills in Python and R; additional programming languages such as SAS, Scala, Spark, C/C++ and/or Java are a plus
Knowledge of databases, database concepts, database design and related languages / tools such as SQL, NoSQL, Hive, etc.
Experience with mining massive data sets (ex. with Hadoop) and visual storytelling expertise are a plus
Geographic flexibility; travel and relocation will be required
Foreign languages are a plus
What you‘ll be doing:
Design new data products and develop big data capabilities in order to address business model challenges and offer solutions
Collaborate with international teams to drive usage and adoption of new data products and capabilities
Use and further enhance machine learning methods and tools
Understand and leverage new data sources and integrate traditional structured data with raw data from websites, social media and third parties
Model and frame business scenarios that are meaningful and impact critical business decisions
Support change within the organization
Please apply online, as we do not consider applications submitted by mail, fax, or e-mail. We welcome applications from people who will contribute to the diversity of our company. For more information about the program visit:
https://data-science-bertelsmann.com/
Introducing ourselves:
Bertelsmann is a media, services and education company that operates in about 50 countries around the world. It includes the broadcaster RTL Group, the trade book publisher Penguin Random House, the magazine publisher Gruner + Jahr, the music company BMG, the service provider Arvato, the Bertelsmann Printing Group, the Bertelsmann Education Group and Bertelsmann Investments, an international network of funds. The company has 119,000 employees and generated revenues of €17.2 billion in the 2017 financial year. Bertelsmann stands for entrepreneurship and creativity. This combination promotes first-class media content and innovative service solutions that inspire customers around the world.
Salary - £38,000 to £44,660
Grade – SEO
FTC 2 years
Closing date – 19/03/2019
Ofqual regulates the Awarding Organisations who provide qualifications in England. Central to our decision making capabilities is accurate and timely data. We are constantly enhancing our use of data and integration with other sources of information to improve our business processes.
As a Manager Data Services professional, you should have previous hands-on experience of Microsoft Azure data technologies and be comfortable working on cloud solutions.
You will be experienced in developing innovative ways of collecting, processing and presenting data. In this role you will be part of the team responsible for expanding our Azure data platform and data collection capabilities using the latest technologies.
As a member of the Data Services (Engineering) Team you will be involved in all aspects of this process from designing data collections and validation, ETL, design of tabular models to the production of reports and dashboards in PowerBI.
This is an exciting opportunity to broaden your skills and work as part of a small expert team. You will be able to discuss ideas with your colleagues and try new technologies and features in Microsoft Azure.
Skills required
Proven experience with the Microsoft BI stack
Developing tabular models using a Kimball methodology
Integrating multiple data sources
Expert analytical and problem solving capabilities
Experience of working with stakeholders at all levels
11/03/2019
Full time
Salary - £38,000 to £44,660
Grade – SEO
FTC 2 years
Closing date – 19/03/2019
Ofqual regulates the Awarding Organisations who provide qualifications in England. Central to our decision making capabilities is accurate and timely data. We are constantly enhancing our use of data and integration with other sources of information to improve our business processes.
As a Manager Data Services professional, you should have previous hands-on experience of Microsoft Azure data technologies and be comfortable working on cloud solutions.
You will be experienced in developing innovative ways of collecting, processing and presenting data. In this role you will be part of the team responsible for expanding our Azure data platform and data collection capabilities using the latest technologies.
As a member of the Data Services (Engineering) Team you will be involved in all aspects of this process from designing data collections and validation, ETL, design of tabular models to the production of reports and dashboards in PowerBI.
This is an exciting opportunity to broaden your skills and work as part of a small expert team. You will be able to discuss ideas with your colleagues and try new technologies and features in Microsoft Azure.
Skills required
Proven experience with the Microsoft BI stack
Developing tabular models using a Kimball methodology
Integrating multiple data sources
Expert analytical and problem solving capabilities
Experience of working with stakeholders at all levels
Jetzt Spezialist (m/w) Business Intelligence am Standort Frankfurt oder Nürnberg werden.
Weshalb zuschauen, wenn man auch mitgestalten kann? Die Bank der Zukunft entwickelt sich nicht von selbst. Dazu brauchen wir kluge Köpfe, Troubleshooter, Umsetzer und Kommunikationstalente. Mit Ihrer analytischen und gleichzeitig pragmatischen Denkweise bringen Sie Prozesse voran, wissen, wie wann was wo gebraucht wird, und bringen ein agiles Mind-Set mit? Perfekt. Unser Team „Group Data & Finance Systems“ freut sich schon auf Sie! Jump on.
Ihre Aufgaben
Ihr Aktionsradius sind die Daten und Prozesse im Rahmen von Bank Management und Datalake IT für verschiedenste Fachbereiche. Sie verantworten die Analyse, das Design und die Realisierung von Anforderungen im BI- und Datawarehouse-Umfeld und sind eingebunden in die entsprechenden ITIL-Service-Operations, respektive Incident-, Change- und Problem-Prozesse. Mit gutem Gespür für Tops & Flops analysieren und bewerten Sie zudem neue Features, Produkte und Technologien und übernehmen gerne (IT-)Verantwortung. In unseren interdisziplinären Teams denken und arbeiten wir agil, optimieren kontinuierlich Geschäftsprozesse und passen uns so den sich stetig wandelnden Gegebenheiten und Anforderungen an.
Ihr Profil
Informatik-Studium oder entsprechende Ausbildung
Praxis im Bereich Datenmodellierung inkl. Standard-Tools
Sicher im Umgang mit Datenanalyse-Werkzeugen (DB-Anwenderkenntnisse, SQL, ETL-Tools, Workflowmanagement)
Erfahrung mit BI-Tools für Reporting sowie SAP Business Objects
Gute Fachkenntnisse in puncto Bankprozesse-/-produkte und Gesamtbanksteuerung
Vertraut mit agilen Methoden (z. B. Scrum)
Kommunikationsstarker Teamplayer mit Eigeninitiative
Sehr gutes Deutsch und Englisch
Bewerben Sie sich jetzt bei Deutschlands drittgrößter Privatkundenbank: ing.de/karriere
01/03/2019
Full time
Jetzt Spezialist (m/w) Business Intelligence am Standort Frankfurt oder Nürnberg werden.
Weshalb zuschauen, wenn man auch mitgestalten kann? Die Bank der Zukunft entwickelt sich nicht von selbst. Dazu brauchen wir kluge Köpfe, Troubleshooter, Umsetzer und Kommunikationstalente. Mit Ihrer analytischen und gleichzeitig pragmatischen Denkweise bringen Sie Prozesse voran, wissen, wie wann was wo gebraucht wird, und bringen ein agiles Mind-Set mit? Perfekt. Unser Team „Group Data & Finance Systems“ freut sich schon auf Sie! Jump on.
Ihre Aufgaben
Ihr Aktionsradius sind die Daten und Prozesse im Rahmen von Bank Management und Datalake IT für verschiedenste Fachbereiche. Sie verantworten die Analyse, das Design und die Realisierung von Anforderungen im BI- und Datawarehouse-Umfeld und sind eingebunden in die entsprechenden ITIL-Service-Operations, respektive Incident-, Change- und Problem-Prozesse. Mit gutem Gespür für Tops & Flops analysieren und bewerten Sie zudem neue Features, Produkte und Technologien und übernehmen gerne (IT-)Verantwortung. In unseren interdisziplinären Teams denken und arbeiten wir agil, optimieren kontinuierlich Geschäftsprozesse und passen uns so den sich stetig wandelnden Gegebenheiten und Anforderungen an.
Ihr Profil
Informatik-Studium oder entsprechende Ausbildung
Praxis im Bereich Datenmodellierung inkl. Standard-Tools
Sicher im Umgang mit Datenanalyse-Werkzeugen (DB-Anwenderkenntnisse, SQL, ETL-Tools, Workflowmanagement)
Erfahrung mit BI-Tools für Reporting sowie SAP Business Objects
Gute Fachkenntnisse in puncto Bankprozesse-/-produkte und Gesamtbanksteuerung
Vertraut mit agilen Methoden (z. B. Scrum)
Kommunikationsstarker Teamplayer mit Eigeninitiative
Sehr gutes Deutsch und Englisch
Bewerben Sie sich jetzt bei Deutschlands drittgrößter Privatkundenbank: ing.de/karriere
Agil, lösungsorientiert und technologiebegeistert – das beschreibt Sie mehr als gut? Und Ihr fachliches Können steht Ihrer persönlichen Kompetenz in nichts nach? Plus: Sie wissen, dass Teamplay & Kommunikation mehr als die Hälfte des Weges sind? Perfekte Voraussetzungen, um in unserem Team die entscheidenden Impulse zu geben. Jump on.
Ihre Aufgaben
Mit Blick auf die globale Gesamtarchitektur der ING Group analysieren, designen und realisieren Sie Anforderungen im BI-/Reporting-Umfeld. Dazu gehört auch, dass Sie Business-Objects-Universen von der Erstellung über den Support bis hin zum komplexen Reporting betreuen. Nicht zuletzt können wir uns in puncto Umsetzungsdokumentation ebenso auf Sie verlassen wie bei der Übernahme von IT-Systemverantwortung inkl. Teilprojektleitung und Sonderaufgaben. Kurzum: Wir freuen uns auf Sie als agilen Teamplayer, der im Datenkosmos stets den Überblick behält.
Ihr Profil
MINT-Studium mit Schwerpunkt Datenanalyse oder eine gleichwertige Qualifikation
Routine in Requirements und Software Engineering
Souverän im Umgang mit Datenanalyse-Tools sowie im Reporting (z. B. PL/SQL, Business Objects, ETL-Werkzeuge)
Kenntnisse der IT-Prozesse in einer Bank (ITIL, Jobsteuerung) sowie dem Wholesale-Banking-Produktportfolio
Erfahrung mit agilen Arbeitsweisen (z. B. Scrum)
Sehr gutes Englisch
Kommunikationsstarker Teamplayer mit systematischer und selbstständiger Arbeitsweise
Bewerben Sie sich jetzt bei Deutschlands drittgrößter Privatkundenbank: ing.de/karriere
21/02/2019
Full time
Agil, lösungsorientiert und technologiebegeistert – das beschreibt Sie mehr als gut? Und Ihr fachliches Können steht Ihrer persönlichen Kompetenz in nichts nach? Plus: Sie wissen, dass Teamplay & Kommunikation mehr als die Hälfte des Weges sind? Perfekte Voraussetzungen, um in unserem Team die entscheidenden Impulse zu geben. Jump on.
Ihre Aufgaben
Mit Blick auf die globale Gesamtarchitektur der ING Group analysieren, designen und realisieren Sie Anforderungen im BI-/Reporting-Umfeld. Dazu gehört auch, dass Sie Business-Objects-Universen von der Erstellung über den Support bis hin zum komplexen Reporting betreuen. Nicht zuletzt können wir uns in puncto Umsetzungsdokumentation ebenso auf Sie verlassen wie bei der Übernahme von IT-Systemverantwortung inkl. Teilprojektleitung und Sonderaufgaben. Kurzum: Wir freuen uns auf Sie als agilen Teamplayer, der im Datenkosmos stets den Überblick behält.
Ihr Profil
MINT-Studium mit Schwerpunkt Datenanalyse oder eine gleichwertige Qualifikation
Routine in Requirements und Software Engineering
Souverän im Umgang mit Datenanalyse-Tools sowie im Reporting (z. B. PL/SQL, Business Objects, ETL-Werkzeuge)
Kenntnisse der IT-Prozesse in einer Bank (ITIL, Jobsteuerung) sowie dem Wholesale-Banking-Produktportfolio
Erfahrung mit agilen Arbeitsweisen (z. B. Scrum)
Sehr gutes Englisch
Kommunikationsstarker Teamplayer mit systematischer und selbstständiger Arbeitsweise
Bewerben Sie sich jetzt bei Deutschlands drittgrößter Privatkundenbank: ing.de/karriere
Weshalb zuschauen, wenn man auch mitgestalten kann? Sie bringen die Dinge zum Laufen. Und machen sie dann jeden Tag ein bisschen besser. Sie denken auch mal unkonventionell oder probieren vermeintlich Unmögliches aus – gern gemeinsam mit den passenden Leuten. Kommunikative Stärke, IT-Know-how und ein Auge für komplexe Zusammenhänge – Sie merken schon: Hier ist Ihr Können gefragt. Jump on.
Ihre Aufgaben
Sie sind zu gleichen Teilen Data Scientist, Geschäftsprozess-Spezialist und versiert im Requirements Engineering? Perfekt. Für die Anforderungs-Analyse unserer Gesamtbanksteuerungssysteme suchen wir jemanden, der das Big Picture der IT-Landschaft überblickt und spielend zwischen Bank- und User-Perspektive wechseln kann. Dazu gehören selbstverständlich Fit-/Gap-Analysen, Business Cases, Product Lifecycle Management im Umfeld des Data Warehouse sowie die interaktive Erfassung von User Stories zusammen mit dem Product Owner. Sie sehen: Zusammen denken und arbeiten wir agil, optimieren kontinuierlich Geschäftsprozesse und passen uns so den sich stetig wandelnden Gegebenheiten und Anforderungen an.
Ihr Profil
Studium der (Wirtschafts-)Informatik, der Wirtschaftswissenschaften oder eine vergleichbare Qualifikation
Exzellente Kenntnisse und Praxiserfahrung in Requirements und Software Engineering
Fundierte Fachkenntnisse im Gesamtbanksteuerungsbereich z. B. im Meldewesen oder im Analytischen Risk Management
Know-how im Umgang mit den gängigen Datenanalyse-Tools (SQL, ETL etc.)
Kenntnisse der agilen Methoden in einer Linienorganisation
Gutes Englisch in Wort und Schrift
Belastbarer, kommunikativer Teamplayer
Bewerben Sie sich jetzt bei Deutschlands drittgrößter Privatkundenbank: ing.de/karriere
19/02/2019
Full time
Weshalb zuschauen, wenn man auch mitgestalten kann? Sie bringen die Dinge zum Laufen. Und machen sie dann jeden Tag ein bisschen besser. Sie denken auch mal unkonventionell oder probieren vermeintlich Unmögliches aus – gern gemeinsam mit den passenden Leuten. Kommunikative Stärke, IT-Know-how und ein Auge für komplexe Zusammenhänge – Sie merken schon: Hier ist Ihr Können gefragt. Jump on.
Ihre Aufgaben
Sie sind zu gleichen Teilen Data Scientist, Geschäftsprozess-Spezialist und versiert im Requirements Engineering? Perfekt. Für die Anforderungs-Analyse unserer Gesamtbanksteuerungssysteme suchen wir jemanden, der das Big Picture der IT-Landschaft überblickt und spielend zwischen Bank- und User-Perspektive wechseln kann. Dazu gehören selbstverständlich Fit-/Gap-Analysen, Business Cases, Product Lifecycle Management im Umfeld des Data Warehouse sowie die interaktive Erfassung von User Stories zusammen mit dem Product Owner. Sie sehen: Zusammen denken und arbeiten wir agil, optimieren kontinuierlich Geschäftsprozesse und passen uns so den sich stetig wandelnden Gegebenheiten und Anforderungen an.
Ihr Profil
Studium der (Wirtschafts-)Informatik, der Wirtschaftswissenschaften oder eine vergleichbare Qualifikation
Exzellente Kenntnisse und Praxiserfahrung in Requirements und Software Engineering
Fundierte Fachkenntnisse im Gesamtbanksteuerungsbereich z. B. im Meldewesen oder im Analytischen Risk Management
Know-how im Umgang mit den gängigen Datenanalyse-Tools (SQL, ETL etc.)
Kenntnisse der agilen Methoden in einer Linienorganisation
Gutes Englisch in Wort und Schrift
Belastbarer, kommunikativer Teamplayer
Bewerben Sie sich jetzt bei Deutschlands drittgrößter Privatkundenbank: ing.de/karriere
Weshalb zuschauen, wenn man auch mitgestalten kann? Die Bank der Zukunft entwickelt sich nicht von selbst. Dazu brauchen wir kluge Köpfe, Umsetzer, Kommunikationstalente – und Kundenversteher. Sie verbinden fachliches Know-how mit überzeugender Persönlichkeit? Und Sie erfassen, was Data Mining mit Marketing zu tun hat? Perfekt. Dann sind Sie die richtige Besetzung, um im Tribe „Customer Interaction“ unser Kundenwissen auf das nächste Level zu bringen. Jump on.
Ihre Aufgaben
In Ihrem Tribe dreht sich alles darum, die Wünsche & Vorstellungen unserer Kunden durch Data Analytics zu antizipieren, um unsere Services künftig noch individueller zu gestalten. Wie unsere Kunden ticken, entschlüsseln Sie mittels umfangreicher Datenanalysen, von der einfachen Auszählung bis zu innovativen Analyseverfahren, Machine-Learning-Algorithmen und Predictive Modelling. Mit Ihren Analysen unterstützen Sie unser operatives Kampagnenmanagement, tragen zu einer stetigen Verbesserung der Maßnahmen zu Kundenbindung und -akquise bei und liefern Input für strategische Vertriebsprojekte. Und nicht zuletzt verstehen Sie es, Ihre Ergebnisse strukturiert aufzubereiten und überzeugend zu präsentieren.
Ihr Profil
Abgeschlossenes Studium, vorzugsweise mit Schwerpunkt Wirtschaft, Informatik, Mathematik, Statistik oder vergleichbare fachliche Qualifikation
Erfahrung in der statistischen Modellierung von Kundenverhalten und dem Einsatz von Machine-Learning-Algorithmen
Absolut fit im Umgang mit großen und komplexen Datenmengen sowie Kenntnisse in SAS und R
Gutes Verständnis von Direktmarketing & Kampagnenmanagement erwünscht
Ausgeprägte analytische und kommunikative Fähigkeiten
Sehr gutes Deutsch und Englisch, schriftlich wie mündlich
Bewerben Sie sich jetzt bei Deutschlands drittgrößter Privatkundenbank: ing.de/karriere
06/02/2019
Full time
Weshalb zuschauen, wenn man auch mitgestalten kann? Die Bank der Zukunft entwickelt sich nicht von selbst. Dazu brauchen wir kluge Köpfe, Umsetzer, Kommunikationstalente – und Kundenversteher. Sie verbinden fachliches Know-how mit überzeugender Persönlichkeit? Und Sie erfassen, was Data Mining mit Marketing zu tun hat? Perfekt. Dann sind Sie die richtige Besetzung, um im Tribe „Customer Interaction“ unser Kundenwissen auf das nächste Level zu bringen. Jump on.
Ihre Aufgaben
In Ihrem Tribe dreht sich alles darum, die Wünsche & Vorstellungen unserer Kunden durch Data Analytics zu antizipieren, um unsere Services künftig noch individueller zu gestalten. Wie unsere Kunden ticken, entschlüsseln Sie mittels umfangreicher Datenanalysen, von der einfachen Auszählung bis zu innovativen Analyseverfahren, Machine-Learning-Algorithmen und Predictive Modelling. Mit Ihren Analysen unterstützen Sie unser operatives Kampagnenmanagement, tragen zu einer stetigen Verbesserung der Maßnahmen zu Kundenbindung und -akquise bei und liefern Input für strategische Vertriebsprojekte. Und nicht zuletzt verstehen Sie es, Ihre Ergebnisse strukturiert aufzubereiten und überzeugend zu präsentieren.
Ihr Profil
Abgeschlossenes Studium, vorzugsweise mit Schwerpunkt Wirtschaft, Informatik, Mathematik, Statistik oder vergleichbare fachliche Qualifikation
Erfahrung in der statistischen Modellierung von Kundenverhalten und dem Einsatz von Machine-Learning-Algorithmen
Absolut fit im Umgang mit großen und komplexen Datenmengen sowie Kenntnisse in SAS und R
Gutes Verständnis von Direktmarketing & Kampagnenmanagement erwünscht
Ausgeprägte analytische und kommunikative Fähigkeiten
Sehr gutes Deutsch und Englisch, schriftlich wie mündlich
Bewerben Sie sich jetzt bei Deutschlands drittgrößter Privatkundenbank: ing.de/karriere
Agil, lösungsorientiert und technologiebegeistert – das beschreibt Sie mehr als gut? Ihr fachliches Können steht Ihrer persönlichen Kompetenz in Nichts nach? Denn Sie wissen, dass Teamplay und Kommunikation mehr als die Hälfte des Weges sind? Perfekt! Beste Voraussetzungen, um in unserer Expertise „Big Data“ entscheidende Impulse zu setzen. Jump on.
Ihre Aufgaben:
Sie betreuen und entwickeln containerisierte Lösungen rund um das Thema Big Data, Fast Data & Analytics. Dabei können Sie spielerisch zwischen Entwicklungs- und operativer Ebene wechseln und machen uns mit smarten Analysen, Lösungen und Tools das Leben leichter. Angetrieben von Neugier und Forschungsdrang sind Sie immer den einen Schritt voraus, reizen neueste Technologien aus und entwickeln gemeinsam im Team hochperformante Lösungen für unsere Kunden. Nicht zuletzt übernehmen Sie gerne die Verantwortung im Rahmen unserer agilen Arbeitsweise nach Scrum oder Kanban und sind dabei stets eng mit den jeweiligen Fachbereichen vernetzt.
Ihr Profil:
Begeisterung für moderne Technologien im Big-Data-Umfeld sowie Spaß an agilen Methoden (Scrum/Kanban/SpotifyAgile)
Fit im Umgang mit Linux-Systemen
Grundkenntnisse professioneller Entwicklungsworkflows und erste Praxis im DevOps-Umfeld (z. B. mit CI/CD)
Interesse an persönlicher Weiterentwicklung und offen für neue Wege & Ansätze zur Umsetzung innovativer Lösungen
Empathischer sowie durchsetzungsstarker und strategisch denkender Teamplayer
Sehr gutes Deutsch und Englisch
Bewerben Sie sich jetzt bei Deutschlands drittgrößter Privatkundenbank: ing.de/karriere
30/01/2019
Full time
Agil, lösungsorientiert und technologiebegeistert – das beschreibt Sie mehr als gut? Ihr fachliches Können steht Ihrer persönlichen Kompetenz in Nichts nach? Denn Sie wissen, dass Teamplay und Kommunikation mehr als die Hälfte des Weges sind? Perfekt! Beste Voraussetzungen, um in unserer Expertise „Big Data“ entscheidende Impulse zu setzen. Jump on.
Ihre Aufgaben:
Sie betreuen und entwickeln containerisierte Lösungen rund um das Thema Big Data, Fast Data & Analytics. Dabei können Sie spielerisch zwischen Entwicklungs- und operativer Ebene wechseln und machen uns mit smarten Analysen, Lösungen und Tools das Leben leichter. Angetrieben von Neugier und Forschungsdrang sind Sie immer den einen Schritt voraus, reizen neueste Technologien aus und entwickeln gemeinsam im Team hochperformante Lösungen für unsere Kunden. Nicht zuletzt übernehmen Sie gerne die Verantwortung im Rahmen unserer agilen Arbeitsweise nach Scrum oder Kanban und sind dabei stets eng mit den jeweiligen Fachbereichen vernetzt.
Ihr Profil:
Begeisterung für moderne Technologien im Big-Data-Umfeld sowie Spaß an agilen Methoden (Scrum/Kanban/SpotifyAgile)
Fit im Umgang mit Linux-Systemen
Grundkenntnisse professioneller Entwicklungsworkflows und erste Praxis im DevOps-Umfeld (z. B. mit CI/CD)
Interesse an persönlicher Weiterentwicklung und offen für neue Wege & Ansätze zur Umsetzung innovativer Lösungen
Empathischer sowie durchsetzungsstarker und strategisch denkender Teamplayer
Sehr gutes Deutsch und Englisch
Bewerben Sie sich jetzt bei Deutschlands drittgrößter Privatkundenbank: ing.de/karriere
What's next in music happens on SoundCloud first. As the world’s largest open audio platform, SoundCloud is powered by a connected community of creators, listeners and curators who share, discover and influence what’s new, now and next in music and audio.
We're looking for someone to join our search team as an embedded Data Scientist. You will be a member of a diverse and skilled group of Data Scientists that operate across the organisation in product teams, business intelligence and analytics. As a Senior Data Scientist on search, you will take the lead on refining the search experience using your expertise in information retrieval and machine learning.
Our Data Scientists work on a wide range of products and problems, embedded with engineering teams having direct impact on our millions of daily active users. We want people that come equipped with an open mind, creativity and a get-it-done attitude.
About the role
In this role you will be responsible for leading the efforts to build data products and internal solutions for some of the hardest problems in search. You will see projects through from start to finish performing research, prototyping solutions, production deployment at scale and A/B testing to validate your solutions. We love specialists with deep experience, and we expect to use that experience alongside a Data Scientist’s ability to be general and tackle a wide range of problem areas.
Some projects you might work on include:
Build and evaluate ranking models to improve the search experience of our users;
Analyse user journeys and derive success metrics to support product decisions;
Applying natural language processing (NLP) techniques to search queries to better understand user-intent and misspellings;
About You
You are a Senior Data Scientist with a curious analytical mindset, experience with software engineering, and a track record of shipping search solutions at large scale. You have a broad toolkit that spans languages and runtimes, and you can get up-to-speed with new tech stacks quickly. You enjoy working cross-functional with Engineers, Product Managers and peer Data Scientists. You have:
A Ph.D. or M.Sc. in a relevant field such as computer science or machine learning (preferred but not required)
A minimum of 5 years of experience in a full-time industry position (not academic)
A deep understanding of the lifecycle of a Data Science project, with experience in research, solution development, tuning and inspecting models, etc.
Experience with Scala, Python or similar languages that are used to ship production models and systems
Experience wrangling very large datasets by writing and maintaining data processing pipelines with Hadoop, Spark, BigQuery, Redshift, or similar
An ability to tell a story about data, to explore and reveal patterns, and to communicate to stakeholders about your discoveries and hypothesis
Worked in cross-functional teams and are able to work in multiple parts of a tech stack
Diversity at SoundCloud
SoundCloud is for everyone. Diversity and open expression are fundamental to our organization; they help us build a social platform and global community where anyone can create, discover, and share sounds. We acknowledge the challenges in our industry, and strive to develop an inclusive culture where everyone can contribute.
26/03/2019
Full time
What's next in music happens on SoundCloud first. As the world’s largest open audio platform, SoundCloud is powered by a connected community of creators, listeners and curators who share, discover and influence what’s new, now and next in music and audio.
We're looking for someone to join our search team as an embedded Data Scientist. You will be a member of a diverse and skilled group of Data Scientists that operate across the organisation in product teams, business intelligence and analytics. As a Senior Data Scientist on search, you will take the lead on refining the search experience using your expertise in information retrieval and machine learning.
Our Data Scientists work on a wide range of products and problems, embedded with engineering teams having direct impact on our millions of daily active users. We want people that come equipped with an open mind, creativity and a get-it-done attitude.
About the role
In this role you will be responsible for leading the efforts to build data products and internal solutions for some of the hardest problems in search. You will see projects through from start to finish performing research, prototyping solutions, production deployment at scale and A/B testing to validate your solutions. We love specialists with deep experience, and we expect to use that experience alongside a Data Scientist’s ability to be general and tackle a wide range of problem areas.
Some projects you might work on include:
Build and evaluate ranking models to improve the search experience of our users;
Analyse user journeys and derive success metrics to support product decisions;
Applying natural language processing (NLP) techniques to search queries to better understand user-intent and misspellings;
About You
You are a Senior Data Scientist with a curious analytical mindset, experience with software engineering, and a track record of shipping search solutions at large scale. You have a broad toolkit that spans languages and runtimes, and you can get up-to-speed with new tech stacks quickly. You enjoy working cross-functional with Engineers, Product Managers and peer Data Scientists. You have:
A Ph.D. or M.Sc. in a relevant field such as computer science or machine learning (preferred but not required)
A minimum of 5 years of experience in a full-time industry position (not academic)
A deep understanding of the lifecycle of a Data Science project, with experience in research, solution development, tuning and inspecting models, etc.
Experience with Scala, Python or similar languages that are used to ship production models and systems
Experience wrangling very large datasets by writing and maintaining data processing pipelines with Hadoop, Spark, BigQuery, Redshift, or similar
An ability to tell a story about data, to explore and reveal patterns, and to communicate to stakeholders about your discoveries and hypothesis
Worked in cross-functional teams and are able to work in multiple parts of a tech stack
Diversity at SoundCloud
SoundCloud is for everyone. Diversity and open expression are fundamental to our organization; they help us build a social platform and global community where anyone can create, discover, and share sounds. We acknowledge the challenges in our industry, and strive to develop an inclusive culture where everyone can contribute.
As a part of our fast growing team, we’re looking for an experienced Senior Data Scientist (m/w/d) who can contribute, take ownership, and help us scale our product and business.
WHAT WE OFFER YOU
A decisive role: You are part of our R&D team and get to take on more ownership in your area of expertise, working closely with other stakeholders in the business.
An international team: Every individual matters - as a team of 14 different nationalities we value the synergy of different cultures, personalities and backgrounds.
Room for growth: We take a personal interest in your perspectives and development, so every employee has a budget for educational purposes (e.g. language or IT certificates) and realistic options for career development within the company.
A range of technologies: The Data Science team uses a range of tools depending on what is best suited for the problem: scikit-learn, Spark, Tensorflow, Databricks, XGBoost, etc.
The perks of a start-up: We offer breakfast, free coffee, free soft drinks, a weekly team-lunch and you can relax over a round of ping-pong in our Kreuzberg office.
YOUR ROLE & RESPONSIBILITIES
Devise ways using machine learning to improve our marketing and product performance to increase the quality of candidates that we bring to our clients, customize user experiences, andimprove conversions
Own a problem area, identifying ways to improve it and devising solutions
Be comfortable sharing ideas and discussing different approaches in an environment where your opinion has a direct impact, being part of our international, experienced, and highly motivated team
Be encouraged to work independently, using your conceptual and creative skills
YOUR PROFILE
2+ years of experience using & creating machine-learning solutions
2+ years of experience programming in Python and analysing data with it using packages like NumPy, SciPy, Pandas, and scikit-learn
Experience with A/B tests
Experience in statistically modelling processes or outcomes
A creative problem-solver
Interested? We are on a strong growth path, so don’t miss the chance!
26/03/2019
Full time
As a part of our fast growing team, we’re looking for an experienced Senior Data Scientist (m/w/d) who can contribute, take ownership, and help us scale our product and business.
WHAT WE OFFER YOU
A decisive role: You are part of our R&D team and get to take on more ownership in your area of expertise, working closely with other stakeholders in the business.
An international team: Every individual matters - as a team of 14 different nationalities we value the synergy of different cultures, personalities and backgrounds.
Room for growth: We take a personal interest in your perspectives and development, so every employee has a budget for educational purposes (e.g. language or IT certificates) and realistic options for career development within the company.
A range of technologies: The Data Science team uses a range of tools depending on what is best suited for the problem: scikit-learn, Spark, Tensorflow, Databricks, XGBoost, etc.
The perks of a start-up: We offer breakfast, free coffee, free soft drinks, a weekly team-lunch and you can relax over a round of ping-pong in our Kreuzberg office.
YOUR ROLE & RESPONSIBILITIES
Devise ways using machine learning to improve our marketing and product performance to increase the quality of candidates that we bring to our clients, customize user experiences, andimprove conversions
Own a problem area, identifying ways to improve it and devising solutions
Be comfortable sharing ideas and discussing different approaches in an environment where your opinion has a direct impact, being part of our international, experienced, and highly motivated team
Be encouraged to work independently, using your conceptual and creative skills
YOUR PROFILE
2+ years of experience using & creating machine-learning solutions
2+ years of experience programming in Python and analysing data with it using packages like NumPy, SciPy, Pandas, and scikit-learn
Experience with A/B tests
Experience in statistically modelling processes or outcomes
A creative problem-solver
Interested? We are on a strong growth path, so don’t miss the chance!
As a part of our fast growing team, we are looking for an experienced Team Lead / Data Engineering (m/w/d) who can contribute, take ownership, and help us scale our product and business.
WHAT WE OFFER YOU
Manage our Data Team of 5 Full-Time Engineers: You are part of our R&D team and keen to take on more ownership in your area of expertise, working closely with other stakeholders in the business.
Bringing our Data Team to the Next Level: Shape the development of our inhouse data engineering team - combine both your technical as well as team management experience to excel your team efforts
A Quality Oriented Development Culture: We're proud of our code, like to pair when needed and use continuous integration.
The Perks of a Startup: We offer breakfast, free coffee, free soft drinks, a weekly team-lunch and you can relax over a round of ping-pong in our Kreuzberg office.
YOUR RESPONSIBILITIES
Support, invest in and mentor a great team of engineers as they tackle an ambitious roadmap
Hire, onboard and strengthen our culture as we further grow our team in 2019
Sync and coordinate engineering-wide activities with other teams
Represent Engineering to internal and external stakeholders
Think strategically and own the important-but-not-urgent tasks
Write code yourself bringing in your expertise in Data Engineering
YOUR PROFILE
3+ years of experience in growing, mentoring and managing engineering teams
A technical background with a crossover to our stack
Technical expertise in Data Engineering or Machine Learning is a plus
You are an excellent communicator bringing in empathy, drive and smartness
Fluent in English (speech and writing), German is not a must
Our environment is built on AWS and we use various AWS services (ECS, S3, Redshift, Lambda, etc). We deploy applications using Docker images with CircleCi, and Airflow pipelines run our machine learning algorithms. Our infrastructure is built for Agile development, and our developers deploy features to production multiple times per day with CI/CD.
Our product development teams have struck a fine balance between iterating quickly while still producing high-quality code. Every member of the team has a prominent voice and is encouraged to experiment, take risks and make suggestions that will have an impact on the business.
Interested? We are on a strong growth path, so don’t miss the chance!
If you'd like to be part of a highly collaborative and cross-functional team, with limitless opportunities to learn and grow, get in touch. Send us your application and we’ll get back to you as soon as possible.
We’re excited to hear from you!
26/03/2019
Full time
As a part of our fast growing team, we are looking for an experienced Team Lead / Data Engineering (m/w/d) who can contribute, take ownership, and help us scale our product and business.
WHAT WE OFFER YOU
Manage our Data Team of 5 Full-Time Engineers: You are part of our R&D team and keen to take on more ownership in your area of expertise, working closely with other stakeholders in the business.
Bringing our Data Team to the Next Level: Shape the development of our inhouse data engineering team - combine both your technical as well as team management experience to excel your team efforts
A Quality Oriented Development Culture: We're proud of our code, like to pair when needed and use continuous integration.
The Perks of a Startup: We offer breakfast, free coffee, free soft drinks, a weekly team-lunch and you can relax over a round of ping-pong in our Kreuzberg office.
YOUR RESPONSIBILITIES
Support, invest in and mentor a great team of engineers as they tackle an ambitious roadmap
Hire, onboard and strengthen our culture as we further grow our team in 2019
Sync and coordinate engineering-wide activities with other teams
Represent Engineering to internal and external stakeholders
Think strategically and own the important-but-not-urgent tasks
Write code yourself bringing in your expertise in Data Engineering
YOUR PROFILE
3+ years of experience in growing, mentoring and managing engineering teams
A technical background with a crossover to our stack
Technical expertise in Data Engineering or Machine Learning is a plus
You are an excellent communicator bringing in empathy, drive and smartness
Fluent in English (speech and writing), German is not a must
Our environment is built on AWS and we use various AWS services (ECS, S3, Redshift, Lambda, etc). We deploy applications using Docker images with CircleCi, and Airflow pipelines run our machine learning algorithms. Our infrastructure is built for Agile development, and our developers deploy features to production multiple times per day with CI/CD.
Our product development teams have struck a fine balance between iterating quickly while still producing high-quality code. Every member of the team has a prominent voice and is encouraged to experiment, take risks and make suggestions that will have an impact on the business.
Interested? We are on a strong growth path, so don’t miss the chance!
If you'd like to be part of a highly collaborative and cross-functional team, with limitless opportunities to learn and grow, get in touch. Send us your application and we’ll get back to you as soon as possible.
We’re excited to hear from you!
Bei Uniper legen wir Wert auf einen nachhaltigen Ausgleich für geleistete Arbeit. Daher bieten wir umfangreiche individuelle Vergütungspakete bestehend aus Grundgehalt, Betriebsrenten und Leistungsboni. Zugleich werden bei uns flexible Arbeitszeitmodelle inklusive Überstundenkompensation und Homeoffice Regelungen angewendet.
Wie wir arbeiten
Die Menschen bei Uniper sind die Basis unseres Erfolges. Eines unserer Kernziele ist es, für sie ein unterstützendes und unternehmerisches Arbeitsumfeld zu schaffen, das Zusammenarbeit fördert und es unseren Mitarbeitern ermöglicht, Verantwortung zu übernehmen und ihre Fähigkeiten optimal zu nutzen. Gemeinsam möchten wir die Zukunft der Energie prägen.
Wofür wir jemanden suchen
Projektmitarbeit zur Umsetzung der Digitalisierung und der Automatisierung technischer Anlagen im gesamten Konzernportfolio im Rahmen von Digitization@Generation
Steuerung und Überwachung des OSIsoft PI Systems im gesamten Erzeugungsportfolio von Uniper um die hohe Leistungsfähigkeit und Datenqualität des PI Systems zu gewährleisten
Teilnahme bei der PI Arbeitskreisen um den Erfahrungsaustausch sowie das Kennenlernen der neuesten Entwicklungen von Anwendungstools zu ermöglichen
Support und Administration der Uniper OSIsoft PI Infrastruktur
Mitwirkung bei den Projekten zur Entwicklung von selbstlernenden Analysetools und KI um zur Wertsteigerung des Uniper Erzeugungsgeschäfts beizutragen
Als Businessanalyst identifizieren Sie die Kunden- und Datenanforderungen
Selbständige Koordination und Umsetzung von Projekten im gesamten Konzernportfolio
Treten Sie bei einem internationalen und vielfältigen Team bei, das Performance-Experten und Datawissenschaftler vereint
Wen wir suchen
Relevanter Hochschulabschluss im Ingenieurswissenschaften, Informatik oder vergleichbar
Ausgezeichnetes Verständnis und langjährige Erfahrung im OSIsoft PI System sind erforderlich
Projekterfahrung im Energiesektor oder in einer vergleichbaren Industrie ist gewünscht
Kenntnisse im Bereichen Datamodellierung, Softwareentwicklung und Analysetools wie Python, R, etc. wären ein Plus
Starke konzeptuelle und analytische Kenntnisse um Datenkorrelationen identifizieren und interpretieren zu können
Fähigkeit über Bereichs-, Technologie- und Landesgrenzen hinweg zusammen zu arbeiten sowie in virtuellen Teams mit kultureller Vielfalt zu kooperieren
Verhandlungssicheres Englisch erforderlich, fließendes Deutsch von Vorteil
Das Unternehmen Uniper
Wir kennen uns in globalen und regionalen Energiemärkten mit ihren unterschiedlichen Regulierungssystemen und Marktbedingungen bestens aus. Uniper verfügt über genau die Anlagen, Kenntnisse und Kompetenzen, um im Bereich des etablierten Energiegeschäfts erfolgreich zu sein. Wir haben vielfältige Kompetenzen beim Bau, Management und Betrieb großer Energieerzeugungsanlagen sowie bei der Optimierung und beim Risikomanagement von Anlagen und Verträgen. Bei Uniper arbeiten Menschen, die alle ein gemeinsames Ziel haben: Eine zuverlässige Energieversorgung.
26/03/2019
Full time
Bei Uniper legen wir Wert auf einen nachhaltigen Ausgleich für geleistete Arbeit. Daher bieten wir umfangreiche individuelle Vergütungspakete bestehend aus Grundgehalt, Betriebsrenten und Leistungsboni. Zugleich werden bei uns flexible Arbeitszeitmodelle inklusive Überstundenkompensation und Homeoffice Regelungen angewendet.
Wie wir arbeiten
Die Menschen bei Uniper sind die Basis unseres Erfolges. Eines unserer Kernziele ist es, für sie ein unterstützendes und unternehmerisches Arbeitsumfeld zu schaffen, das Zusammenarbeit fördert und es unseren Mitarbeitern ermöglicht, Verantwortung zu übernehmen und ihre Fähigkeiten optimal zu nutzen. Gemeinsam möchten wir die Zukunft der Energie prägen.
Wofür wir jemanden suchen
Projektmitarbeit zur Umsetzung der Digitalisierung und der Automatisierung technischer Anlagen im gesamten Konzernportfolio im Rahmen von Digitization@Generation
Steuerung und Überwachung des OSIsoft PI Systems im gesamten Erzeugungsportfolio von Uniper um die hohe Leistungsfähigkeit und Datenqualität des PI Systems zu gewährleisten
Teilnahme bei der PI Arbeitskreisen um den Erfahrungsaustausch sowie das Kennenlernen der neuesten Entwicklungen von Anwendungstools zu ermöglichen
Support und Administration der Uniper OSIsoft PI Infrastruktur
Mitwirkung bei den Projekten zur Entwicklung von selbstlernenden Analysetools und KI um zur Wertsteigerung des Uniper Erzeugungsgeschäfts beizutragen
Als Businessanalyst identifizieren Sie die Kunden- und Datenanforderungen
Selbständige Koordination und Umsetzung von Projekten im gesamten Konzernportfolio
Treten Sie bei einem internationalen und vielfältigen Team bei, das Performance-Experten und Datawissenschaftler vereint
Wen wir suchen
Relevanter Hochschulabschluss im Ingenieurswissenschaften, Informatik oder vergleichbar
Ausgezeichnetes Verständnis und langjährige Erfahrung im OSIsoft PI System sind erforderlich
Projekterfahrung im Energiesektor oder in einer vergleichbaren Industrie ist gewünscht
Kenntnisse im Bereichen Datamodellierung, Softwareentwicklung und Analysetools wie Python, R, etc. wären ein Plus
Starke konzeptuelle und analytische Kenntnisse um Datenkorrelationen identifizieren und interpretieren zu können
Fähigkeit über Bereichs-, Technologie- und Landesgrenzen hinweg zusammen zu arbeiten sowie in virtuellen Teams mit kultureller Vielfalt zu kooperieren
Verhandlungssicheres Englisch erforderlich, fließendes Deutsch von Vorteil
Das Unternehmen Uniper
Wir kennen uns in globalen und regionalen Energiemärkten mit ihren unterschiedlichen Regulierungssystemen und Marktbedingungen bestens aus. Uniper verfügt über genau die Anlagen, Kenntnisse und Kompetenzen, um im Bereich des etablierten Energiegeschäfts erfolgreich zu sein. Wir haben vielfältige Kompetenzen beim Bau, Management und Betrieb großer Energieerzeugungsanlagen sowie bei der Optimierung und beim Risikomanagement von Anlagen und Verträgen. Bei Uniper arbeiten Menschen, die alle ein gemeinsames Ziel haben: Eine zuverlässige Energieversorgung.
At Uniper, we believe in rewarding our employees for their hard work. We offer competitive salaries, company pensions and performance related benefits.
How we work
Our people are key to our success. Our core objective is to provide them with a supportive and entrepreneurial work environment that fosters collaboration. This allows our people to take responsibility and make optimal use of their skills. Together, we want to shape the future of energy.
What we are looking for
Uniper´s manager of our OSIsoft PI Enterprise Data Infrastructure & Applications, being the main interface with both OSIsoft and our internal IT, responsible for maintaining and supporting the system in all Uniper´s site and steering and coordinating our IT support teams and for managing the coaching and training schedules at all sites
To design and supervise the implementation of the standard PI architecture and Asset Framework structure in all sites. Steer the development of reports and tools in PI using the latest software versions to allow the business to apply analytics to plant data
To ensure that our PI data governance is complied with and to trigger its update to new requirements if needed
To build up and coordinate the PI users´ community, ensuring that is helps raise to the highest standards the skills of users across the portfolio
To lead digitisation and automation projects across the Uniper Generation portfolio by coordinating activities in various assets and countries including consultants from 3rd parties, ensuring that best practice is applied in all sites
To manage advanced data analytics projects based on, for example, commercial or operational data from different external and internal sources to deliver value to the Uniper generation business by involving the business experts, data scientists and developers to identify and prioritise valid use cases and implement those with highest value added
To build up and coordinate the generation analytics community to help make machine learning part of our daily business
Who we are seeking
University degree in Engineering, Computer Science or similar background
Demonstrate working according to the Uniper Way
Master management and implementation of all elements of the OSIsoft PI system, including AF, event frames and advanced business integrator
Extensive knowledge and experience working with I&C, data historians and/or control systems
Project experience in the Power Generation or similar business
Results, customer-centric, orientation
Experience with data modelling, software development and analytics tools such as Python, R, etc. would be a plus
Strong conceptual skills and analytical thinking, keen to work with data to infer correlations and extract useful information
Proven ability to influence across hierarchy, technology and country boundaries and managing cultural diversity even in virtual teams
Proficiency in English (C1) and advanced German (B2) required
About us
We have extensive knowledge of global and regional energy markets with their different regulatory systems and market conditions. Uniper has the equipment, knowledge and skills to succeed as an established energy business.
We have various expertise in the construction, management and operation of large power plants, as well as in the optimisation and risk management of assets and contracts. At Uniper, people work with one common goal: The reliable supply of energy.
26/03/2019
Full time
At Uniper, we believe in rewarding our employees for their hard work. We offer competitive salaries, company pensions and performance related benefits.
How we work
Our people are key to our success. Our core objective is to provide them with a supportive and entrepreneurial work environment that fosters collaboration. This allows our people to take responsibility and make optimal use of their skills. Together, we want to shape the future of energy.
What we are looking for
Uniper´s manager of our OSIsoft PI Enterprise Data Infrastructure & Applications, being the main interface with both OSIsoft and our internal IT, responsible for maintaining and supporting the system in all Uniper´s site and steering and coordinating our IT support teams and for managing the coaching and training schedules at all sites
To design and supervise the implementation of the standard PI architecture and Asset Framework structure in all sites. Steer the development of reports and tools in PI using the latest software versions to allow the business to apply analytics to plant data
To ensure that our PI data governance is complied with and to trigger its update to new requirements if needed
To build up and coordinate the PI users´ community, ensuring that is helps raise to the highest standards the skills of users across the portfolio
To lead digitisation and automation projects across the Uniper Generation portfolio by coordinating activities in various assets and countries including consultants from 3rd parties, ensuring that best practice is applied in all sites
To manage advanced data analytics projects based on, for example, commercial or operational data from different external and internal sources to deliver value to the Uniper generation business by involving the business experts, data scientists and developers to identify and prioritise valid use cases and implement those with highest value added
To build up and coordinate the generation analytics community to help make machine learning part of our daily business
Who we are seeking
University degree in Engineering, Computer Science or similar background
Demonstrate working according to the Uniper Way
Master management and implementation of all elements of the OSIsoft PI system, including AF, event frames and advanced business integrator
Extensive knowledge and experience working with I&C, data historians and/or control systems
Project experience in the Power Generation or similar business
Results, customer-centric, orientation
Experience with data modelling, software development and analytics tools such as Python, R, etc. would be a plus
Strong conceptual skills and analytical thinking, keen to work with data to infer correlations and extract useful information
Proven ability to influence across hierarchy, technology and country boundaries and managing cultural diversity even in virtual teams
Proficiency in English (C1) and advanced German (B2) required
About us
We have extensive knowledge of global and regional energy markets with their different regulatory systems and market conditions. Uniper has the equipment, knowledge and skills to succeed as an established energy business.
We have various expertise in the construction, management and operation of large power plants, as well as in the optimisation and risk management of assets and contracts. At Uniper, people work with one common goal: The reliable supply of energy.
We are the world's leading chemical company because we provide intelligent solutions - for our customers and for a sustainable future. To do so, we network and promote people with a wide variety of talents - worldwide. This opens up a variety of opportunities. With us your performance counts as well as your personality, regardless of age, origin, gender, sexual identity, disability or ideology. Careers develop from opportunities. At BASF.
The location Schwarzheide is located between the capital Berlin and the cultural metropolis Dresden, with Collaboration Rooms in Dresden as well as in Berlin. Schwarzheide is playing a pioneering role in the digital transformation of the BASF Group.
Together with us, you shape the digital future. Take the chance to join the leading chemical company.
Find out more about BASF Schwarzheide GmbH at: http://on.basf.com/Schwarzheide
What she expects
Our interdisciplinary digitalization team is driving forward the digital transformation of one of our largest production sites. We use modern methods from applied mathematics, data science, computer science and automation technology. The focus is on machine learning, big data analytics and model-based simulation and optimization.
They increase the efficiency of processes in production, supply and disposal as well as logistics through digital technologies and solutions.
You work in projects with local companies as well as with internal and external partners and promote digitalization.
Together with interdisciplinary project teams you provide workflows for statistical data analysis and develop and implement systems for data integration, data preparation and online solutions.
The focus of your work can be adapted to your abilities and interests. Examples include optimization of processes, supply and value chains, predictive maintenance or expert systems.
What we expect
We are looking for candidates who enjoy working with data and mathematical / statistical models and have extensive experience here.
Ideally, you have supplemented your above-average Master with a PhD in Applied Mathematics, Statistics, Science, Computer Science or Engineering.
You master at least one programming language z. B. R, Python, MATLAB, VBA, Java, JavaScript or C / C ++ and have experience with the development of complex software packages.
They are familiar with the latest digital trends in Industry 4.0 and are ready to quickly and independently familiarize themselves with new topics.
With your open, enthusiastic and result-oriented personality you contribute to team success and communicate safely in German and English.
We offer
A challenging task with high personal responsibility. Their training is done "on the job" in a dedicated, competent team.
Supporting our employees with different measures for reconciling work and private life.
Attractive remuneration including company benefits and outstanding development opportunities in an international company.
The processing of exciting tasks and challenging projects on site at one of BASF's largest European production sites.
Optionally, you can temporarily work in one of our Collaboration Rooms in Berlin or Dresden.
Become part of the best team with a network of more than 110,000 employees worldwide. Discover your career at BASF at on.basf.com/mycareer.
26/03/2019
Full time
We are the world's leading chemical company because we provide intelligent solutions - for our customers and for a sustainable future. To do so, we network and promote people with a wide variety of talents - worldwide. This opens up a variety of opportunities. With us your performance counts as well as your personality, regardless of age, origin, gender, sexual identity, disability or ideology. Careers develop from opportunities. At BASF.
The location Schwarzheide is located between the capital Berlin and the cultural metropolis Dresden, with Collaboration Rooms in Dresden as well as in Berlin. Schwarzheide is playing a pioneering role in the digital transformation of the BASF Group.
Together with us, you shape the digital future. Take the chance to join the leading chemical company.
Find out more about BASF Schwarzheide GmbH at: http://on.basf.com/Schwarzheide
What she expects
Our interdisciplinary digitalization team is driving forward the digital transformation of one of our largest production sites. We use modern methods from applied mathematics, data science, computer science and automation technology. The focus is on machine learning, big data analytics and model-based simulation and optimization.
They increase the efficiency of processes in production, supply and disposal as well as logistics through digital technologies and solutions.
You work in projects with local companies as well as with internal and external partners and promote digitalization.
Together with interdisciplinary project teams you provide workflows for statistical data analysis and develop and implement systems for data integration, data preparation and online solutions.
The focus of your work can be adapted to your abilities and interests. Examples include optimization of processes, supply and value chains, predictive maintenance or expert systems.
What we expect
We are looking for candidates who enjoy working with data and mathematical / statistical models and have extensive experience here.
Ideally, you have supplemented your above-average Master with a PhD in Applied Mathematics, Statistics, Science, Computer Science or Engineering.
You master at least one programming language z. B. R, Python, MATLAB, VBA, Java, JavaScript or C / C ++ and have experience with the development of complex software packages.
They are familiar with the latest digital trends in Industry 4.0 and are ready to quickly and independently familiarize themselves with new topics.
With your open, enthusiastic and result-oriented personality you contribute to team success and communicate safely in German and English.
We offer
A challenging task with high personal responsibility. Their training is done "on the job" in a dedicated, competent team.
Supporting our employees with different measures for reconciling work and private life.
Attractive remuneration including company benefits and outstanding development opportunities in an international company.
The processing of exciting tasks and challenging projects on site at one of BASF's largest European production sites.
Optionally, you can temporarily work in one of our Collaboration Rooms in Berlin or Dresden.
Become part of the best team with a network of more than 110,000 employees worldwide. Discover your career at BASF at on.basf.com/mycareer.
Smaato is the leading global real-time mobile advertising platform, connecting 10,000+ advertisers — including 91 of the Top 100 Ad Age brands — with over 90,000 app developers and mobile web publishers. Smaato manages up to 19 billion mobile ad impressions daily and reaches over one billion unique mobile users monthly.
Founded in 2005 by mobile pioneers Ragnar Kruse and Petra Vorsteher, Smaato has global headquarters in San Francisco, California, with additional offices in Berlin, Hamburg, New York City, Shanghai, and Singapore.
Job Description
The Data Scientist at Smaato is an experienced builder of intelligent systems as well as cloud based machine learning solutions. How? Our cutting edge platform is processing an average of 6 billion inbound advertising queries per day. Each incoming request generates multiple outbound requests to our partners. With your inquisitiveness, and primary data research, you get to process these vast amount of data, and create comprehensive stories around your results. Besides developing cloud-based solutions to user-story based requirements you will mentor junior developers and build software to pass automated acceptance tests.
Key responsibilities:
Support the business and product stakeholders by developing machine learning algorithms
You will design, develop and deliver scalable, high-performance and real-time data processing and analysis software
Evaluate and select the right technologies to build scalable solutions for our clients in the Ad-Tech industry
Solve complex problems by identifying and optimizing relevant KPIs from a multitude of data
You’ll work on the system architecture and interact with the UI Engineers to innovate vizualisations of vast data labyrinths
In our agile environment you will cooperate with the product management team and business stakeholders
Conduct ad-hoc analysis using Databricks Notebooks
We trust you to share responsibility for all team deliverables
Qualifications
Solid work experience in statistics, AI, and developing productive machine learning-based solutions
Master Degree or equivalent experience in a quantitative field (Computer Science, Statistics, Engineering, Artificial Intelligence, etc.)
Deep understanding of data technologies and tools
You are familiar with Spark and cloud-based AWS services
Over the past years you gained experience in programming with JVM languages and Python, relational and NoSQL databases like MySQL, Postgres, and Vertica
Familiarity with the online- or mobile advertising business counts as strong plus
You hold a valid work permit for the German market
Additional Information
Perks of being a Smaatie
Smaato’s modern Hamburg office offers an incredible 360° view over Hamburg’s city center and harbor, and is decorated with lounges, relax, and gaming rooms, including Foosball tables, PS4 consoles and guitar hero. In this office, we conduct in-house hackathons, in which everyone can participate!
Our unique and diverse company culture is shaped by people with commitment, sense of responsibility, risk-taking and discipline. Our employees’ loyalty, efforts, and commitment, we reward with numerous incentive and training programs, career development opportunities, regular team events, fresh fruit & snacks, quarterly massages, and fun activities.
Despite our growth over the past decade, we maintained flat hierarchies and short decision paths - much like in our start-up time. We have introduced flexible working hours, a home office regulation, and other work-life-balance options.
The salaries are market competitive and in addition we offer benefits such as a company pension plan and the HVV ProfiCard (public transit ticket for Hamburg) or equivalent.
A Buddy-Program offers new employees from abroad assistance for their start in a new country.
25/03/2019
Full time
Smaato is the leading global real-time mobile advertising platform, connecting 10,000+ advertisers — including 91 of the Top 100 Ad Age brands — with over 90,000 app developers and mobile web publishers. Smaato manages up to 19 billion mobile ad impressions daily and reaches over one billion unique mobile users monthly.
Founded in 2005 by mobile pioneers Ragnar Kruse and Petra Vorsteher, Smaato has global headquarters in San Francisco, California, with additional offices in Berlin, Hamburg, New York City, Shanghai, and Singapore.
Job Description
The Data Scientist at Smaato is an experienced builder of intelligent systems as well as cloud based machine learning solutions. How? Our cutting edge platform is processing an average of 6 billion inbound advertising queries per day. Each incoming request generates multiple outbound requests to our partners. With your inquisitiveness, and primary data research, you get to process these vast amount of data, and create comprehensive stories around your results. Besides developing cloud-based solutions to user-story based requirements you will mentor junior developers and build software to pass automated acceptance tests.
Key responsibilities:
Support the business and product stakeholders by developing machine learning algorithms
You will design, develop and deliver scalable, high-performance and real-time data processing and analysis software
Evaluate and select the right technologies to build scalable solutions for our clients in the Ad-Tech industry
Solve complex problems by identifying and optimizing relevant KPIs from a multitude of data
You’ll work on the system architecture and interact with the UI Engineers to innovate vizualisations of vast data labyrinths
In our agile environment you will cooperate with the product management team and business stakeholders
Conduct ad-hoc analysis using Databricks Notebooks
We trust you to share responsibility for all team deliverables
Qualifications
Solid work experience in statistics, AI, and developing productive machine learning-based solutions
Master Degree or equivalent experience in a quantitative field (Computer Science, Statistics, Engineering, Artificial Intelligence, etc.)
Deep understanding of data technologies and tools
You are familiar with Spark and cloud-based AWS services
Over the past years you gained experience in programming with JVM languages and Python, relational and NoSQL databases like MySQL, Postgres, and Vertica
Familiarity with the online- or mobile advertising business counts as strong plus
You hold a valid work permit for the German market
Additional Information
Perks of being a Smaatie
Smaato’s modern Hamburg office offers an incredible 360° view over Hamburg’s city center and harbor, and is decorated with lounges, relax, and gaming rooms, including Foosball tables, PS4 consoles and guitar hero. In this office, we conduct in-house hackathons, in which everyone can participate!
Our unique and diverse company culture is shaped by people with commitment, sense of responsibility, risk-taking and discipline. Our employees’ loyalty, efforts, and commitment, we reward with numerous incentive and training programs, career development opportunities, regular team events, fresh fruit & snacks, quarterly massages, and fun activities.
Despite our growth over the past decade, we maintained flat hierarchies and short decision paths - much like in our start-up time. We have introduced flexible working hours, a home office regulation, and other work-life-balance options.
The salaries are market competitive and in addition we offer benefits such as a company pension plan and the HVV ProfiCard (public transit ticket for Hamburg) or equivalent.
A Buddy-Program offers new employees from abroad assistance for their start in a new country.
Smaato is the leading global real-time mobile advertising platform, connecting 10,000+ advertisers — including 91 of the Top 100 Ad Age brands — with over 90,000 app developers and mobile web publishers. Smaato manages up to 19 billion mobile ad impressions daily and reaches over one billion unique mobile users monthly.
Founded in 2005 by mobile pioneers Ragnar Kruse and Petra Vorsteher, Smaato has global headquarters in San Francisco, California, with additional offices in Berlin, Hamburg, New York City, Shanghai, and Singapore.
Job Description
The Big Data Engineer works on our SaaS platform, and brings passionate inquisitiveness, primary research, and forward thinking to every assignment. Through shared responsibility for all team deliverables, and communication with Product Owners as well as other stakeholders within the company, the Big Data Engineer builds software to pass automated acceptance tests and to deliver sprint commitments.
You can expect a very international team of Engineers who are based in Hamburg. As part of our self-organizing Scrum teams you'd be structuring 2-weeks-sprints following iterative methods. Our team sizes vary between 4 and 7 Engineers. The hierarchies are set efficiently and the management style can be called hands-off; in other words, you are trusted to manage your own work.
Key responsibilities:
Design, develop, deliver and operate scalable, high-performance, real-time data processing software.
Work proactively on the system architecture.
Participate in the evaluation and selection of right technologies.
Support the business and product stakeholders by developing new and innovative data driven products.
Interact with UI/UX Engineer to develop innovative ways to visualize huge amounts of data.
Collaboration with the product management team to incorporate the needs of our customers.
Qualifications
Several years of experience in big data technologies and tools.
You enjoy operating your applications in production and strive to make on-calls obsolete.
Bachelor degree in Computer Science or equivalent.
Hands-on experience with one of the following technologies: Spark, Kafka, Druid, NoSQL-Databases.
Familiarity with the AWS-Stack of advantage.
Profound experience in programming with Java, Scala or a similar programming language.
Knowledge and experience in statistics methods, machine learning and AI.
Experience with relational database systems.
Additional Information
Perks of being a Smaatie
Smaato’s modern Hamburg office offers an incredible 360° view over Hamburg’s city center and harbor, and is decorated with lounges, relax, and gaming rooms, including Foosball tables, PS4 consoles and guitar hero. In this office, we conduct in-house hackathons, in which everyone can participate!
Our unique and diverse company culture is shaped by people with commitment, sense of responsibility, risk-taking and discipline. Our employees’ loyalty, efforts, and commitment, we reward with numerous incentive and training programs, career development opportunities, regular team events, fresh fruit & snacks, quarterly massages, and fun activities.
Despite our growth over the past decade, we maintained flat hierarchies and short decision paths - much like in our start-up time. We have introduced flexible working hours, a home office regulation, and other work-life-balance options.
The salaries are market competitive and in addition we offer benefits such as a company pension plan and the HVV ProfiCard (public transit ticket for Hamburg) or equivalent.
A Buddy-Program offers new employees from abroad assistance for their start in a new country.
25/03/2019
Full time
Smaato is the leading global real-time mobile advertising platform, connecting 10,000+ advertisers — including 91 of the Top 100 Ad Age brands — with over 90,000 app developers and mobile web publishers. Smaato manages up to 19 billion mobile ad impressions daily and reaches over one billion unique mobile users monthly.
Founded in 2005 by mobile pioneers Ragnar Kruse and Petra Vorsteher, Smaato has global headquarters in San Francisco, California, with additional offices in Berlin, Hamburg, New York City, Shanghai, and Singapore.
Job Description
The Big Data Engineer works on our SaaS platform, and brings passionate inquisitiveness, primary research, and forward thinking to every assignment. Through shared responsibility for all team deliverables, and communication with Product Owners as well as other stakeholders within the company, the Big Data Engineer builds software to pass automated acceptance tests and to deliver sprint commitments.
You can expect a very international team of Engineers who are based in Hamburg. As part of our self-organizing Scrum teams you'd be structuring 2-weeks-sprints following iterative methods. Our team sizes vary between 4 and 7 Engineers. The hierarchies are set efficiently and the management style can be called hands-off; in other words, you are trusted to manage your own work.
Key responsibilities:
Design, develop, deliver and operate scalable, high-performance, real-time data processing software.
Work proactively on the system architecture.
Participate in the evaluation and selection of right technologies.
Support the business and product stakeholders by developing new and innovative data driven products.
Interact with UI/UX Engineer to develop innovative ways to visualize huge amounts of data.
Collaboration with the product management team to incorporate the needs of our customers.
Qualifications
Several years of experience in big data technologies and tools.
You enjoy operating your applications in production and strive to make on-calls obsolete.
Bachelor degree in Computer Science or equivalent.
Hands-on experience with one of the following technologies: Spark, Kafka, Druid, NoSQL-Databases.
Familiarity with the AWS-Stack of advantage.
Profound experience in programming with Java, Scala or a similar programming language.
Knowledge and experience in statistics methods, machine learning and AI.
Experience with relational database systems.
Additional Information
Perks of being a Smaatie
Smaato’s modern Hamburg office offers an incredible 360° view over Hamburg’s city center and harbor, and is decorated with lounges, relax, and gaming rooms, including Foosball tables, PS4 consoles and guitar hero. In this office, we conduct in-house hackathons, in which everyone can participate!
Our unique and diverse company culture is shaped by people with commitment, sense of responsibility, risk-taking and discipline. Our employees’ loyalty, efforts, and commitment, we reward with numerous incentive and training programs, career development opportunities, regular team events, fresh fruit & snacks, quarterly massages, and fun activities.
Despite our growth over the past decade, we maintained flat hierarchies and short decision paths - much like in our start-up time. We have introduced flexible working hours, a home office regulation, and other work-life-balance options.
The salaries are market competitive and in addition we offer benefits such as a company pension plan and the HVV ProfiCard (public transit ticket for Hamburg) or equivalent.
A Buddy-Program offers new employees from abroad assistance for their start in a new country.
trinamiX ist der Pionier der adaptiven 3D-Messtechnologie. 2015 wurde die trinamiX GmbH als 100-prozentige Tochter der BASF SE, dem weltweit führenden Chemieunternehmen, gegründet. Wir entwickeln die vielseitigsten Sensorsysteme der adaptiven 3D-Messtechnologie. Wir vereinfachen Messmethoden und ermöglichen neue Anwendungen. Dafür suchen wir zielstrebige Persönlichkeiten, die unser dynamisches Team unterstützen. Unsere Eigenständigkeit als Start-up, verbunden mit den Kompetenzen der BASF-Gruppe, ermöglicht uns eine schnelle und flexible Produktentwicklung im Elektronik- und Sensormarkt. Der Firmensitz in Ludwigshafen liegt im Zentrum der Metropolregion Rhein-Neckar. Ein umfangreiches und vielfältiges Kultur- und Freizeitangebot macht diese Region attraktiv.
Mehr über die trinamiX GmbH erfahren Sie unter www.trinamix.de
Was Sie erwartet
In der Einheit Imaging entwickeln wir einzigartige Algorithmen, die in Kombination mit Lichtprojektoren und CMOS-basierten Kamerasystemen die simultane Erfassung von Tiefeninformation und Materialeigenschaften in bildgebender Form ermöglichen. Die Fusion von Bilddaten, Tiefeninformation und Materialparametern mit einem Kamerasystem ermöglicht die nächste Generation des Maschinensehens.
Als hochmotivierte_r Datenwissenschaftler_in unterstützen Sie unser Team dabei, Robotikanwendungen sowie die biometrische Erfassung in mobilen Anwendungen auf die nächste Stufe zu bringen.
Dazu designen und validieren Sie Bild-, Tiefen- und Materialdatensätze, die mit unserem speziellen XperYenZ-Kamerasystem aufgenommen werden.
Außerdem werten Sie diese Datensätze hinsichtlich der Modellbildung zur Objektidentifizierung, Objektorientierung im Raum und Bildsegmentierung mit unserer XperYenZ-Technologie aus.
Des Weiteren unterstützen Sie die Algorithmenentwicklung durch den Einsatz von Datenmodellen sowie die Produktentwicklung im Bereich Robotik und Smartphone.
Was wir erwarten
Sie haben Ihr Studium der Physik, Informatik oder Mathematik erfolgreich abgeschlossen und im Bereich Data-Mining, Machine Learning oder Statistik Berufserfahrung gesammelt oder promoviert.
Mit Datenanalysen und Datenvalidierung im Rahmen statistischer Verfahren kennen Sie sich aus und die Auswertung von Bilddaten bereiten Ihnen keine Schwierigkeiten.
Außerdem verfügen Sie über solide Kenntnisse im Umgang mit R oder PyData und sind erfahren mit Methoden des überwachten und unüberwachten Lernens.
Aus diesem Grund sind Dimensions-Reduktion, Clustering oder Klassifizierung, PCA, mean shift, k-Means, SVM, Random Forrest und Deep learning keine Fremdwörter für Sie.
Idealerweise bringen Sie Kenntnisse im Rapid Prototyping (z.B. Python), C++, Tensor Flow mit Keras und Design of Experiments mit.
Wenn Sie sich zudem für neue Ideen begeistern, gern kreative Lösungen entwickeln und auch komplexe Sachverhalte in deutscher und englischer Sprache verständlich vermitteln können, freuen wir uns auf Ihre Bewerbung!
Wir bieten
Ein anspruchsvolles Aufgabengebiet mit Eigenverantwortung. Ihre Einarbeitung erfolgt "on the job" in einem engagierten, kompetenten Team.
Unterstützung unserer Mitarbeiterinnen und Mitarbeiter mit unterschiedlichen Maßnahmen bei der Vereinbarkeit von Beruf und Privatleben.
Attraktive Vergütung einschließlich betrieblicher Sozialleistungen sowie hervorragende Entwicklungschancen in einem internationalen Unternehmen.
25/03/2019
Full time
trinamiX ist der Pionier der adaptiven 3D-Messtechnologie. 2015 wurde die trinamiX GmbH als 100-prozentige Tochter der BASF SE, dem weltweit führenden Chemieunternehmen, gegründet. Wir entwickeln die vielseitigsten Sensorsysteme der adaptiven 3D-Messtechnologie. Wir vereinfachen Messmethoden und ermöglichen neue Anwendungen. Dafür suchen wir zielstrebige Persönlichkeiten, die unser dynamisches Team unterstützen. Unsere Eigenständigkeit als Start-up, verbunden mit den Kompetenzen der BASF-Gruppe, ermöglicht uns eine schnelle und flexible Produktentwicklung im Elektronik- und Sensormarkt. Der Firmensitz in Ludwigshafen liegt im Zentrum der Metropolregion Rhein-Neckar. Ein umfangreiches und vielfältiges Kultur- und Freizeitangebot macht diese Region attraktiv.
Mehr über die trinamiX GmbH erfahren Sie unter www.trinamix.de
Was Sie erwartet
In der Einheit Imaging entwickeln wir einzigartige Algorithmen, die in Kombination mit Lichtprojektoren und CMOS-basierten Kamerasystemen die simultane Erfassung von Tiefeninformation und Materialeigenschaften in bildgebender Form ermöglichen. Die Fusion von Bilddaten, Tiefeninformation und Materialparametern mit einem Kamerasystem ermöglicht die nächste Generation des Maschinensehens.
Als hochmotivierte_r Datenwissenschaftler_in unterstützen Sie unser Team dabei, Robotikanwendungen sowie die biometrische Erfassung in mobilen Anwendungen auf die nächste Stufe zu bringen.
Dazu designen und validieren Sie Bild-, Tiefen- und Materialdatensätze, die mit unserem speziellen XperYenZ-Kamerasystem aufgenommen werden.
Außerdem werten Sie diese Datensätze hinsichtlich der Modellbildung zur Objektidentifizierung, Objektorientierung im Raum und Bildsegmentierung mit unserer XperYenZ-Technologie aus.
Des Weiteren unterstützen Sie die Algorithmenentwicklung durch den Einsatz von Datenmodellen sowie die Produktentwicklung im Bereich Robotik und Smartphone.
Was wir erwarten
Sie haben Ihr Studium der Physik, Informatik oder Mathematik erfolgreich abgeschlossen und im Bereich Data-Mining, Machine Learning oder Statistik Berufserfahrung gesammelt oder promoviert.
Mit Datenanalysen und Datenvalidierung im Rahmen statistischer Verfahren kennen Sie sich aus und die Auswertung von Bilddaten bereiten Ihnen keine Schwierigkeiten.
Außerdem verfügen Sie über solide Kenntnisse im Umgang mit R oder PyData und sind erfahren mit Methoden des überwachten und unüberwachten Lernens.
Aus diesem Grund sind Dimensions-Reduktion, Clustering oder Klassifizierung, PCA, mean shift, k-Means, SVM, Random Forrest und Deep learning keine Fremdwörter für Sie.
Idealerweise bringen Sie Kenntnisse im Rapid Prototyping (z.B. Python), C++, Tensor Flow mit Keras und Design of Experiments mit.
Wenn Sie sich zudem für neue Ideen begeistern, gern kreative Lösungen entwickeln und auch komplexe Sachverhalte in deutscher und englischer Sprache verständlich vermitteln können, freuen wir uns auf Ihre Bewerbung!
Wir bieten
Ein anspruchsvolles Aufgabengebiet mit Eigenverantwortung. Ihre Einarbeitung erfolgt "on the job" in einem engagierten, kompetenten Team.
Unterstützung unserer Mitarbeiterinnen und Mitarbeiter mit unterschiedlichen Maßnahmen bei der Vereinbarkeit von Beruf und Privatleben.
Attraktive Vergütung einschließlich betrieblicher Sozialleistungen sowie hervorragende Entwicklungschancen in einem internationalen Unternehmen.
Project A is the operational VC that provides its ventures with capital, an extensive network and exclusive access to a wide range of operational expertise. The Berlin-based investor makes use of the €260m in assets under its management to back early-stage companies in the digital technology space. With its unique organizational structure featuring 100 operational experts, Project A offers its portfolio companies hands-on support in the areas of Software Engineering, Digital Marketing, Design, Communications, Business Intelligence, Sales and Recruiting. The portfolio includes companies such as Artisense, Catawiki, Horizn Studios, KRY, LIQID, Spryker, uberall and WorldRemit. You can find more information at www.project-a.com and on the blog insights.project-a.com .
We are looking for:
A new team member for one of our portfolio companies.
What will keep you challenged?
Build data-driven applications for our ventures: data warehouses, marketing automations, recommendation engines etc.
Integrate data from various systems into flexible and consistent representations. You will make sure that all people and IT systems in the organization have easy access to data through various front-ends and interfaces.
Adapt our toolset to ever new challenges
Work in an agile software development process in close collaboration with the BI team
Which traits contribute to your success?
A master's degree in computer science or a comparable qualification
Genuine interest in data and algorithms and excitement about solving difficult problems
Knowledge of the following basic tools of software engineering: programming in multiple languages, HTTP and current web technologies, the unix command line and basic server administration, version control systems, a basic understanding of the interplay between software and memory, hard discs and the CPU
Profound knowledge about the inner workings of database systems
Eagerness to delve into new technologies and programming languages
Basic understanding of mathematics and machine learning
Ability to turn data science into something that creates business value ( for more click here )
Our current Stack:
Mac or Linux, Python, bash scripts, Makefiles.
Our own open-source data integration framework Mara ( for more click here ), but also Airflow and Luigi
PostgreSQL for ETL ( for more click here ), Kinesis & BigQuery for event collection and querying
AWS, GCP, Azure, Saltstack, Ansible
What to expect working with us:
Becoming part of a highly motivated and professional team
Having the unique opportunity to experience and to make an impact on recently founded companies
Working independently, have all freedom you need and are thus able to personally grow and develop yourself on a constant basis
Working at a modern and well-equipped office in the heart of Berlin
Benefiting from a communicative, creative and stimulating environment
Do you want to be part of our success story? We are looking forward to your online application.
25/03/2019
Full time
Project A is the operational VC that provides its ventures with capital, an extensive network and exclusive access to a wide range of operational expertise. The Berlin-based investor makes use of the €260m in assets under its management to back early-stage companies in the digital technology space. With its unique organizational structure featuring 100 operational experts, Project A offers its portfolio companies hands-on support in the areas of Software Engineering, Digital Marketing, Design, Communications, Business Intelligence, Sales and Recruiting. The portfolio includes companies such as Artisense, Catawiki, Horizn Studios, KRY, LIQID, Spryker, uberall and WorldRemit. You can find more information at www.project-a.com and on the blog insights.project-a.com .
We are looking for:
A new team member for one of our portfolio companies.
What will keep you challenged?
Build data-driven applications for our ventures: data warehouses, marketing automations, recommendation engines etc.
Integrate data from various systems into flexible and consistent representations. You will make sure that all people and IT systems in the organization have easy access to data through various front-ends and interfaces.
Adapt our toolset to ever new challenges
Work in an agile software development process in close collaboration with the BI team
Which traits contribute to your success?
A master's degree in computer science or a comparable qualification
Genuine interest in data and algorithms and excitement about solving difficult problems
Knowledge of the following basic tools of software engineering: programming in multiple languages, HTTP and current web technologies, the unix command line and basic server administration, version control systems, a basic understanding of the interplay between software and memory, hard discs and the CPU
Profound knowledge about the inner workings of database systems
Eagerness to delve into new technologies and programming languages
Basic understanding of mathematics and machine learning
Ability to turn data science into something that creates business value ( for more click here )
Our current Stack:
Mac or Linux, Python, bash scripts, Makefiles.
Our own open-source data integration framework Mara ( for more click here ), but also Airflow and Luigi
PostgreSQL for ETL ( for more click here ), Kinesis & BigQuery for event collection and querying
AWS, GCP, Azure, Saltstack, Ansible
What to expect working with us:
Becoming part of a highly motivated and professional team
Having the unique opportunity to experience and to make an impact on recently founded companies
Working independently, have all freedom you need and are thus able to personally grow and develop yourself on a constant basis
Working at a modern and well-equipped office in the heart of Berlin
Benefiting from a communicative, creative and stimulating environment
Do you want to be part of our success story? We are looking forward to your online application.
