BIRKENSTOCK ist eine Global Footwear Brand und eine Weltmarke, die für Qualität, Funktion und Wohlbefinden im ganz umfassenden Sinn steht. Die historischen Wurzeln des traditionsreichen Familienunternehmens lassen sich bis ins Jahr 1774 zurückverfolgen. Mittlerweile reicht das Sortiment von Sandalen über geschlossene Schuhe bis hin zu Accessoires, Naturkosmetik, Betten und Schlafsystemen. Mit über 4.300 Mitarbeitern ist BIRKENSTOCK der größte Arbeitgeber der deutschen Schuhindustrie. In Deutschland ist BIRKENSTOCK an 13 Standorten vertreten. In Europa, Asien und Amerika ist BIRKENSTOCK mit eigenen Vertriebsgesellschaften präsent.
Zur Verstärkung unseres Sales-Europe-Teams suchen wir für den Standort München einen (Senior) Data Analyst (m/w/d) Digital Marketing .
IHRE AUFGABEN:
Analyse, Controlling und Reporting der Multichannel-Marketingmaßnahmen
Ableitung von Handlungsempfehlungen für Bestandskunden & Neukunden
Generieren von Data Insights für 19 europäische Märkte (Digital & Retail)
Customer Journey & Attributions-Analysen
Koordination der Maßnahmen zur Personalisierung in CRM & Performance
Identifikation von Optimierungsmaßnahmen im Marketing und Übernahme von cross-channel Marketing Projekten
Empfehlung & Umsetzung datengetriebener Entscheidungen (mittels Google Analytics Insights und DWH Insights)
Weiterentwicklung der Kundenbindungsstrategie & Erschließung neuer Zielgruppen
Unterstützung bei der Optimierung der E-Mail-Marketing-Strategie • Begleitung von Data und Technologie Testings
IHR PROFIL:
Mindestens 3-jährige Berufserfahrung im Data Science / Analytics / Marketing BI Umfeld eines international agierenden E-Commerce-Unternehmens; idealerweise Erfahrung im Bereich CRM
Erfahrung im Bereich Marketingattribution & Touchpoint-Analyse
Know-how im Bereich internationale Marken und Mono-Brand-Stores; idealerweise in der Fashion-Branche
Sehr gutes Englisch in Wort und Schrift
Fundierte Kenntnisse im Umgang mit Google Analytics und weiterer Analyse- und Visualisierungstools, insb. Tableau
Exzellente Excel-Kenntnisse & sehr gute Kenntnisse in PowerPoint
Erfahrung mit Marketingtools wie Google Ads und Facebook Business Manager sowie Bidding Tools wünschenswert
Erste Erfahrungen im Umgang mit Feedmanagement Tools (z. B. Productsup) von Vorteil
Engagierter Teamplayer mit Organisationstalent und sehr guten logisch-analytischen Fähigkeiten
BIRKENSTOCK BIETET IHNEN ALLE VORTEILE EINES ERFOLGREICHEN, STARK WACHSENDEN, GLOBALEN UNTERNEHMENS:
ein dynamisches Arbeitsumfeld, großen Gestaltungsspielraum, eine authentische und offene Unternehmenskultur sowie hervorragende Entwicklungsmöglichkeiten. Klingt spannend? Ist es auch. Wir freuen uns auf Ihre Online-Bewerbung unter Angabe Ihrer Gehaltsvorstellung auf www.birkenstock-group.com/ karriere! Bitte richten Sie Ihre Bewerbung an Maria Blum.
Birkenstock GmbH & Co. KG
Burg Ockenfels 3545 Linz am Rhein
birkenstock-group.com
13/03/2020
Full time
BIRKENSTOCK ist eine Global Footwear Brand und eine Weltmarke, die für Qualität, Funktion und Wohlbefinden im ganz umfassenden Sinn steht. Die historischen Wurzeln des traditionsreichen Familienunternehmens lassen sich bis ins Jahr 1774 zurückverfolgen. Mittlerweile reicht das Sortiment von Sandalen über geschlossene Schuhe bis hin zu Accessoires, Naturkosmetik, Betten und Schlafsystemen. Mit über 4.300 Mitarbeitern ist BIRKENSTOCK der größte Arbeitgeber der deutschen Schuhindustrie. In Deutschland ist BIRKENSTOCK an 13 Standorten vertreten. In Europa, Asien und Amerika ist BIRKENSTOCK mit eigenen Vertriebsgesellschaften präsent.
Zur Verstärkung unseres Sales-Europe-Teams suchen wir für den Standort München einen (Senior) Data Analyst (m/w/d) Digital Marketing .
IHRE AUFGABEN:
Analyse, Controlling und Reporting der Multichannel-Marketingmaßnahmen
Ableitung von Handlungsempfehlungen für Bestandskunden & Neukunden
Generieren von Data Insights für 19 europäische Märkte (Digital & Retail)
Customer Journey & Attributions-Analysen
Koordination der Maßnahmen zur Personalisierung in CRM & Performance
Identifikation von Optimierungsmaßnahmen im Marketing und Übernahme von cross-channel Marketing Projekten
Empfehlung & Umsetzung datengetriebener Entscheidungen (mittels Google Analytics Insights und DWH Insights)
Weiterentwicklung der Kundenbindungsstrategie & Erschließung neuer Zielgruppen
Unterstützung bei der Optimierung der E-Mail-Marketing-Strategie • Begleitung von Data und Technologie Testings
IHR PROFIL:
Mindestens 3-jährige Berufserfahrung im Data Science / Analytics / Marketing BI Umfeld eines international agierenden E-Commerce-Unternehmens; idealerweise Erfahrung im Bereich CRM
Erfahrung im Bereich Marketingattribution & Touchpoint-Analyse
Know-how im Bereich internationale Marken und Mono-Brand-Stores; idealerweise in der Fashion-Branche
Sehr gutes Englisch in Wort und Schrift
Fundierte Kenntnisse im Umgang mit Google Analytics und weiterer Analyse- und Visualisierungstools, insb. Tableau
Exzellente Excel-Kenntnisse & sehr gute Kenntnisse in PowerPoint
Erfahrung mit Marketingtools wie Google Ads und Facebook Business Manager sowie Bidding Tools wünschenswert
Erste Erfahrungen im Umgang mit Feedmanagement Tools (z. B. Productsup) von Vorteil
Engagierter Teamplayer mit Organisationstalent und sehr guten logisch-analytischen Fähigkeiten
BIRKENSTOCK BIETET IHNEN ALLE VORTEILE EINES ERFOLGREICHEN, STARK WACHSENDEN, GLOBALEN UNTERNEHMENS:
ein dynamisches Arbeitsumfeld, großen Gestaltungsspielraum, eine authentische und offene Unternehmenskultur sowie hervorragende Entwicklungsmöglichkeiten. Klingt spannend? Ist es auch. Wir freuen uns auf Ihre Online-Bewerbung unter Angabe Ihrer Gehaltsvorstellung auf www.birkenstock-group.com/ karriere! Bitte richten Sie Ihre Bewerbung an Maria Blum.
Birkenstock GmbH & Co. KG
Burg Ockenfels 3545 Linz am Rhein
birkenstock-group.com
Leidenschaft für Big Data, neue Technologien, agiles Mindset, Kreativität und Kommunikationsgeschick – erkennen Sie sich wieder? Perfekt! Dann sind Sie genau der oder die Richtige, um uns in puncto Data Foundation auf das nächste Level zu heben. Verstärken Sie unser Team!
Ihre Aufgaben:
Sie fokussieren sich ganz auf den Aufbau und die Pflege unserer Data-Lake- & DWH-Plattform samt Frameworks und unterstützen unsere agilen Squads & Tribes bei der Definition der Daten-Qualitäts-Regeln sowie der korrekten Darstellung der Datenherkunft (Data Lineage). Darüber hinaus implementieren Sie unsere hauseigene ING-Sprache „Esperanto“, mit der wir den Datenaustausch zwischen den Data Lakes auf Basis einheitlicher Ausdrücke und Definitionen sicherstellen. Und da Sie nicht locker lassen, wenn Sie ein Thema packt und Sie den Dingen gerne auf den Grund gehen, werden Ihre kreativen Lösungswege in internen und internationalen Teams hoch geschätzt.
Ihr Profil:
Relevante Berufserfahrung mit Metadaten im Data- Warehouse-/Data-Lake-Umfeld
Know-how rund um Data-Warehouse-Architekturen, -Technologien und -Frameworks sowie deren Implementierung
Kenntnisse der IBM InfoSphere Information Server Suite, insb. Information Governance Catalog (ICG) und Information Analyzer (IA)
Praxis in Linux sowie mit Werkzeugen im DWH-Umfeld (ETL- & Workflow-Management Tools wie DataStage und Automic)
Qualitätsbewusste Arbeitsweise sowie kommunikative
Kompetenz, auf Deutsch und Englisch (verhandlungssicher)
Bewerben Sie sich jetzt bei Deutschlands drittgrößter Privatkundenbank: ing.de/karriere
10/03/2020
Full time
Leidenschaft für Big Data, neue Technologien, agiles Mindset, Kreativität und Kommunikationsgeschick – erkennen Sie sich wieder? Perfekt! Dann sind Sie genau der oder die Richtige, um uns in puncto Data Foundation auf das nächste Level zu heben. Verstärken Sie unser Team!
Ihre Aufgaben:
Sie fokussieren sich ganz auf den Aufbau und die Pflege unserer Data-Lake- & DWH-Plattform samt Frameworks und unterstützen unsere agilen Squads & Tribes bei der Definition der Daten-Qualitäts-Regeln sowie der korrekten Darstellung der Datenherkunft (Data Lineage). Darüber hinaus implementieren Sie unsere hauseigene ING-Sprache „Esperanto“, mit der wir den Datenaustausch zwischen den Data Lakes auf Basis einheitlicher Ausdrücke und Definitionen sicherstellen. Und da Sie nicht locker lassen, wenn Sie ein Thema packt und Sie den Dingen gerne auf den Grund gehen, werden Ihre kreativen Lösungswege in internen und internationalen Teams hoch geschätzt.
Ihr Profil:
Relevante Berufserfahrung mit Metadaten im Data- Warehouse-/Data-Lake-Umfeld
Know-how rund um Data-Warehouse-Architekturen, -Technologien und -Frameworks sowie deren Implementierung
Kenntnisse der IBM InfoSphere Information Server Suite, insb. Information Governance Catalog (ICG) und Information Analyzer (IA)
Praxis in Linux sowie mit Werkzeugen im DWH-Umfeld (ETL- & Workflow-Management Tools wie DataStage und Automic)
Qualitätsbewusste Arbeitsweise sowie kommunikative
Kompetenz, auf Deutsch und Englisch (verhandlungssicher)
Bewerben Sie sich jetzt bei Deutschlands drittgrößter Privatkundenbank: ing.de/karriere
Die DataLab. GmbH ist ein erfolgreicher und dynamisch wachsender Dienstleister für Customer Equity mit Schwerpunkt auf Customer Insight, Kundenstrategien, Kundenbindungsprogramme, Direkt und Database Marketing.
www.datalab-crm.de
Wir bieten
Teamspirit und herausfordernde, abwechslungsreiche Aufgaben
Schnelle und vielfältige Entwicklungsmöglichkeiten in einem kleinen Unternehmen
Gezielte Weiterbildungen für Deine Fach oder Führungskarriere
Viele Einblicke in eine dynamische und zukunftsträchtige Branche
Gezielte Weiterbildungen für Deine Fach oder Führungskarriere
Attraktive Büroräume im Düsseldorfer Medienhafen
Benefits wie Mitarbeiterevents, frisches Obst, Eis und Getränke so viel Du willst!
Deine Aufgaben
Konzeption und Programmierung komplexer Analysen und Datenverarbeitungsstrecken von Unternehmensdaten unserer namhaften Kunden
Von der Beratung beim Analyse Design bis hin zur Ergebnispräsentation, Umsetzung von ad hoc Analysen im CRM und Loyalty Umfeld
Visualisierung von Analyse Ergebnissen in Form von interaktiven Dashboards
Datenbasierte Generierung von Customer Insights zur Ableitung von Handlungsempfehlungen und Unterstützung unserer Kunden bei der Implementierung analytischer Use Cases
Dein Profil
Du hast ein abgeschlossenes Studium idealerweise der Statistik, (Wirtschafts --) Mathematik, oder eines verwandten Studiengangs mit quantitativem Schwerpunkt
Du hast Berufserfahrung in den Bereichen Business Intelligence , Data Analytics oder Data Science idealerweise im CRM oder Marketing Umfeld
Du bringst sehr gute Programmierkenntnisse in SAS, R oder Python mit
Gute SQL Kenntnisse und Erfahrung im Umgang relationalen Datenbanken kannst Du ebenfalls vorweisen
Erfahrung mit BI Tools, vorzugsweise Tableau
Idealerweise weißt Du, wie man Machine Learning und/oder statistische Modelle erstellt und anwendet
Sehr gute Deutsch und Englisch Kenntnisse sowie Reisebereitschaft sind für Dich selbstverständlich
Interessiert? Dann werde auch Teil unseres Teams und somit des Erfolges der DataLab.GmbH. Dein erster Schritt? Schicke uns Deine Bewerbungsunterlagen unter Angabe Deiner Verfügbarkeit und Deiner Gehaltsvorstellungen an karriere@datalab crm.de . Wir freuen uns!
03/03/2020
Full time
Die DataLab. GmbH ist ein erfolgreicher und dynamisch wachsender Dienstleister für Customer Equity mit Schwerpunkt auf Customer Insight, Kundenstrategien, Kundenbindungsprogramme, Direkt und Database Marketing.
www.datalab-crm.de
Wir bieten
Teamspirit und herausfordernde, abwechslungsreiche Aufgaben
Schnelle und vielfältige Entwicklungsmöglichkeiten in einem kleinen Unternehmen
Gezielte Weiterbildungen für Deine Fach oder Führungskarriere
Viele Einblicke in eine dynamische und zukunftsträchtige Branche
Gezielte Weiterbildungen für Deine Fach oder Führungskarriere
Attraktive Büroräume im Düsseldorfer Medienhafen
Benefits wie Mitarbeiterevents, frisches Obst, Eis und Getränke so viel Du willst!
Deine Aufgaben
Konzeption und Programmierung komplexer Analysen und Datenverarbeitungsstrecken von Unternehmensdaten unserer namhaften Kunden
Von der Beratung beim Analyse Design bis hin zur Ergebnispräsentation, Umsetzung von ad hoc Analysen im CRM und Loyalty Umfeld
Visualisierung von Analyse Ergebnissen in Form von interaktiven Dashboards
Datenbasierte Generierung von Customer Insights zur Ableitung von Handlungsempfehlungen und Unterstützung unserer Kunden bei der Implementierung analytischer Use Cases
Dein Profil
Du hast ein abgeschlossenes Studium idealerweise der Statistik, (Wirtschafts --) Mathematik, oder eines verwandten Studiengangs mit quantitativem Schwerpunkt
Du hast Berufserfahrung in den Bereichen Business Intelligence , Data Analytics oder Data Science idealerweise im CRM oder Marketing Umfeld
Du bringst sehr gute Programmierkenntnisse in SAS, R oder Python mit
Gute SQL Kenntnisse und Erfahrung im Umgang relationalen Datenbanken kannst Du ebenfalls vorweisen
Erfahrung mit BI Tools, vorzugsweise Tableau
Idealerweise weißt Du, wie man Machine Learning und/oder statistische Modelle erstellt und anwendet
Sehr gute Deutsch und Englisch Kenntnisse sowie Reisebereitschaft sind für Dich selbstverständlich
Interessiert? Dann werde auch Teil unseres Teams und somit des Erfolges der DataLab.GmbH. Dein erster Schritt? Schicke uns Deine Bewerbungsunterlagen unter Angabe Deiner Verfügbarkeit und Deiner Gehaltsvorstellungen an karriere@datalab crm.de . Wir freuen uns!
For this master thesis you will:
Develop techniques for AI (Artificial Intelligence) interpretability and explainability in the area of environmental sensors.
Assess algorithms and their performance on a real measurement data base.
Provide feedback to our sensor technology team and generalize other types of sensor applications.
At the end of your thesis, our team will have a suite of algorithms in Keras or Tensorflow and the ability to document the performance, complexity and memory tradeoff.
Your Profile
You are best equipped for this task if you:
Are studying Information Technology, Electrical Engineering, Mathematics , Physics or Chemistry.
Have already gained experience in signal processing for sensor applications.
Have knowledge in the field of machine learning and deep learning algorithms, as well as programming skills in Python, Tensorflow and Keras .
Have great communication skills and love to work in a team.
Are fluent in English , German is a plus.
Please attach the following documents to your application:
CV in English;
Certificate of enrollment at university;
Latest grades transcript;
High school report.
Benefits
What we offer you at Campeon
In our headquarter in Neubiberg near Munich, more than 3.300 employees are working in research & development, several central functions, IT and many more
21/02/2020
Full time
For this master thesis you will:
Develop techniques for AI (Artificial Intelligence) interpretability and explainability in the area of environmental sensors.
Assess algorithms and their performance on a real measurement data base.
Provide feedback to our sensor technology team and generalize other types of sensor applications.
At the end of your thesis, our team will have a suite of algorithms in Keras or Tensorflow and the ability to document the performance, complexity and memory tradeoff.
Your Profile
You are best equipped for this task if you:
Are studying Information Technology, Electrical Engineering, Mathematics , Physics or Chemistry.
Have already gained experience in signal processing for sensor applications.
Have knowledge in the field of machine learning and deep learning algorithms, as well as programming skills in Python, Tensorflow and Keras .
Have great communication skills and love to work in a team.
Are fluent in English , German is a plus.
Please attach the following documents to your application:
CV in English;
Certificate of enrollment at university;
Latest grades transcript;
High school report.
Benefits
What we offer you at Campeon
In our headquarter in Neubiberg near Munich, more than 3.300 employees are working in research & development, several central functions, IT and many more
Jetzt Expert (m/w/d) Business Intelligence & Data Warehouse am Standort Frankfurt werden.
Sie brennen für Ihr Thema und möchten jeden Tag mehr lernen, erschließen und verstehen? Sie verbinden Daten-Know-how mit Prozess-Verständnis, Neugier mit Servicegedanke und finden sich in jedem Team in kürzester Zeit zurecht? Unser Center of Expertise „Data Foundation“ freut sich schon auf Sie!
Ihre Aufgaben
Sie arbeiten am offenen Herzen unserer Systeme im BI-/DWH-Umfeld und damit am Kern der Herausforderungen, die sich aus steigenden Anforderungen an Datenhaltung, -migration und --------- -analysebedarf ergeben. Mit Ihrem Team richten Sie unsere Lösungen auf maximale Performance aus – und das konzeptionell wie operativ. Dazu analysieren Sie IT-Anforderungen, setzen Designs auf und um und unterstützen dabei, ETL-Strecken zu entwerfen. System & Prozess denken Sie zusammen, bringen beides in einer dynamischen Technologie- und Produktlandschaft in Übereinstimmung und bewerten neue Features, Produkte und Komponenten. Auch im Rahmen von ITIL-Prozessen (Incident/Change/Problem) sorgen Sie für passgenaue Abläufe inkl. des Managements der zyklischen Releases. Jenseits des Tagesgeschäfts finden Sie in Projekten jede Menge Freiraum, Ihr Engagement und Ihre Expertise zu fokussieren – um Services zu entwickeln, von denen unsere Kunden heute noch nicht wissen, dass sie sich diese morgen wünschen.
Ihr Profil
Informatik-Studium/-Ausbildung oder berufliches Äquivalent
Fachwissen in Datenmodellierung, BI-/DWH-Architekturen und -technologien samt Standard-Tools (z. B. IBM Data Stage)
Kenntnisse im Umgang mit relationalen/nicht relationalen Datenbanken inkl. Programmier- und Abfragesprachen sowie gängigen Datenanalyse-Tools (SQL, ETL, etc.)
Praxis mit Methoden und Werkzeugen im Projekt- und Workflowmanagement (z. B. Automic)
Erste Erfahrung mit agilen Denk- und Vorgehensweisen (Scrum)
Sehr gutes Deutsch & Englisch
Bewerben Sie sich jetzt bei Deutschlands drittgrößter Privatkundenbank: ing.de/karriere
18/02/2020
Full time
Jetzt Expert (m/w/d) Business Intelligence & Data Warehouse am Standort Frankfurt werden.
Sie brennen für Ihr Thema und möchten jeden Tag mehr lernen, erschließen und verstehen? Sie verbinden Daten-Know-how mit Prozess-Verständnis, Neugier mit Servicegedanke und finden sich in jedem Team in kürzester Zeit zurecht? Unser Center of Expertise „Data Foundation“ freut sich schon auf Sie!
Ihre Aufgaben
Sie arbeiten am offenen Herzen unserer Systeme im BI-/DWH-Umfeld und damit am Kern der Herausforderungen, die sich aus steigenden Anforderungen an Datenhaltung, -migration und --------- -analysebedarf ergeben. Mit Ihrem Team richten Sie unsere Lösungen auf maximale Performance aus – und das konzeptionell wie operativ. Dazu analysieren Sie IT-Anforderungen, setzen Designs auf und um und unterstützen dabei, ETL-Strecken zu entwerfen. System & Prozess denken Sie zusammen, bringen beides in einer dynamischen Technologie- und Produktlandschaft in Übereinstimmung und bewerten neue Features, Produkte und Komponenten. Auch im Rahmen von ITIL-Prozessen (Incident/Change/Problem) sorgen Sie für passgenaue Abläufe inkl. des Managements der zyklischen Releases. Jenseits des Tagesgeschäfts finden Sie in Projekten jede Menge Freiraum, Ihr Engagement und Ihre Expertise zu fokussieren – um Services zu entwickeln, von denen unsere Kunden heute noch nicht wissen, dass sie sich diese morgen wünschen.
Ihr Profil
Informatik-Studium/-Ausbildung oder berufliches Äquivalent
Fachwissen in Datenmodellierung, BI-/DWH-Architekturen und -technologien samt Standard-Tools (z. B. IBM Data Stage)
Kenntnisse im Umgang mit relationalen/nicht relationalen Datenbanken inkl. Programmier- und Abfragesprachen sowie gängigen Datenanalyse-Tools (SQL, ETL, etc.)
Praxis mit Methoden und Werkzeugen im Projekt- und Workflowmanagement (z. B. Automic)
Erste Erfahrung mit agilen Denk- und Vorgehensweisen (Scrum)
Sehr gutes Deutsch & Englisch
Bewerben Sie sich jetzt bei Deutschlands drittgrößter Privatkundenbank: ing.de/karriere
Company
SPRING oversees the digital presence of Axel Springer's German media brands. SPRING along with Axel Springer's editorial teams trying to make journalism accessible for everyone while simultaneously pushing digital business models based on close user relationships. We are responsible for over 60 products from more than 25 brands, among them are two of Europe's most widely circulated media publications, WELT and BILD.
We are looking for passionate and creative people who want to take an active part in shaping the future of journalism within the context of digital media. Are you open to trying new things? Are you confident, driven and clever? Then apply for a role now with SPRING Axel Springer Digital News Media GmbH & Co. KG.
At SPRING, innovation is at the core of our ethos, we endeavour to invest in new technologies as much as we can, our culture also encourages our employees to seek out novel solutions for challenging problems.
Your challenge
You implement projects for group-wide data marketing
You develop commercial models and products to apply the database to one of the leading data technologies
You support setting up a data-marketing process including reporting
You are a role-model and contact-person for new applicants and carry out analysis on new data
You are in contact with many stakeholders by being an interface to cross-disciplinary departments such as legal, marketing and brands
In a digital media environment you conduct market and competitors research
you help by creating presentations that are used by internal boards to take decisions
Your profile
You have an outstanding degree in economics, business informatics, media management or in a comparable study program
Digital business models, technologies and value chains are of great interest to you
You can show first work experiences in online marketing, consulting, project management or business development
A high affinity for numbers, strong analytical skills and a data-driven approach distinguish you
You are committed, implementation-oriented and work independently
Your English skills and your knowledge of MS Office (especially Excel, Power Point) are very good
What we offer at SPRING
The chance of boosting your personal development with seminars, workshops, various conferences and talks
Regular exchange and networking with subsidiaries of the Axel Springer Group (eg. Awin, idealo, Bonial, Stepstone, Immowelt and many more)
Flexible working hours
An above average number of vacation days
A free lunch in our on-site restaurant every day
A MacBook, which can also be used privately
A two-year position with the chance of becoming unlimited in a modern office in the heart of Berlin
Contact
Questions regarding this position (reference number 044400342) will be answered gladly by: Alice Cardi; telephone: 015165266681.
Zusatzinformationen
SPRING Axel Springer Digital News Media GmbH & Co. KG emphasizes equal opportunities. We welcome the applications of people with disabilities, whose integration is an important matter to us.
You can find further information about Axel Springer's Representative for Disabled Persons as well as contact details here.
Vorschau Link
Für eine Vorschau klicken Sie bitte [%job_number%]044400342" target="_blank">hier
17/02/2020
Full time
Company
SPRING oversees the digital presence of Axel Springer's German media brands. SPRING along with Axel Springer's editorial teams trying to make journalism accessible for everyone while simultaneously pushing digital business models based on close user relationships. We are responsible for over 60 products from more than 25 brands, among them are two of Europe's most widely circulated media publications, WELT and BILD.
We are looking for passionate and creative people who want to take an active part in shaping the future of journalism within the context of digital media. Are you open to trying new things? Are you confident, driven and clever? Then apply for a role now with SPRING Axel Springer Digital News Media GmbH & Co. KG.
At SPRING, innovation is at the core of our ethos, we endeavour to invest in new technologies as much as we can, our culture also encourages our employees to seek out novel solutions for challenging problems.
Your challenge
You implement projects for group-wide data marketing
You develop commercial models and products to apply the database to one of the leading data technologies
You support setting up a data-marketing process including reporting
You are a role-model and contact-person for new applicants and carry out analysis on new data
You are in contact with many stakeholders by being an interface to cross-disciplinary departments such as legal, marketing and brands
In a digital media environment you conduct market and competitors research
you help by creating presentations that are used by internal boards to take decisions
Your profile
You have an outstanding degree in economics, business informatics, media management or in a comparable study program
Digital business models, technologies and value chains are of great interest to you
You can show first work experiences in online marketing, consulting, project management or business development
A high affinity for numbers, strong analytical skills and a data-driven approach distinguish you
You are committed, implementation-oriented and work independently
Your English skills and your knowledge of MS Office (especially Excel, Power Point) are very good
What we offer at SPRING
The chance of boosting your personal development with seminars, workshops, various conferences and talks
Regular exchange and networking with subsidiaries of the Axel Springer Group (eg. Awin, idealo, Bonial, Stepstone, Immowelt and many more)
Flexible working hours
An above average number of vacation days
A free lunch in our on-site restaurant every day
A MacBook, which can also be used privately
A two-year position with the chance of becoming unlimited in a modern office in the heart of Berlin
Contact
Questions regarding this position (reference number 044400342) will be answered gladly by: Alice Cardi; telephone: 015165266681.
Zusatzinformationen
SPRING Axel Springer Digital News Media GmbH & Co. KG emphasizes equal opportunities. We welcome the applications of people with disabilities, whose integration is an important matter to us.
You can find further information about Axel Springer's Representative for Disabled Persons as well as contact details here.
Vorschau Link
Für eine Vorschau klicken Sie bitte [%job_number%]044400342" target="_blank">hier
MILES is your urban life companion, showing you hidden treasures and the coolest spots - everything that makes the city worth living. MILES is carsharing for everyone who wants more in life than living it by the minute. Driving with no time pressure, no limits and no specific vehicle types or car brands. Our passion for the new and unexplored drives us in our vision to make urban life better. \#milesnotminutes For our team in Berlin we are looking for a Data Engineer f/m/x These will be your tasks
Extend and improve the current BI- infrastructure
Transforming large sets of different data sources into a data warehouse
Building data visualization products to scale data access across the company
Building predictive analytics (e.g. Optimizing our Fleet) in production, in collaboration with our data analysts
Responsibility for our data infrastructure and choosing the right tools
You're offering these qualifications
3+ year experience in Business Intelligence, Data Engineering, Software Engineering
Proven interest in data and algorithms and in-depth knowledge of Python, SQL
Experience with data workflow orchestrators (Airflow, Luigi or similar)
Solid experience working with databases (z.B. PostgreSQL, Bigquery etc.) und cloud-computing-infrastructures (AWS, Azure etc.)
Experience working in an agile software development process
Proactive and self-driven personality
Fluent in English
Nice to have
Basic understanding of mathematics/statistics and machine learning
Experience using Tableau
Fluent in German
We're offering these benefits
Be part of a high-growth company with an established business model
You'll have a high impact with us: We always listen to you and give you the necessary space to bring in and implement your creative ideas
Flat hierarchies? Then you've come to the right place! In addition, you can learn from our smart colleagues and develop professionally
MILES mood = feel good ;) Cool and modern office with modern equipment, joint team lunches and events, drink flat rate, muesli and for the daily ration of sugar, of course also something sweet
"Just using public transportation" was yesterday: with us you'll get a monthly contingent of MILES Credits for free rides
Carsharing with lots of ! At MILES, part of our turnover is invested in regional and social projects, as we are actively committed to the welfare of our society and the environment #milescharity
Does the job description sound good to you? Do not hesitate to submit your application. We are looking forward to hearing from you! : )
17/02/2020
Full time
MILES is your urban life companion, showing you hidden treasures and the coolest spots - everything that makes the city worth living. MILES is carsharing for everyone who wants more in life than living it by the minute. Driving with no time pressure, no limits and no specific vehicle types or car brands. Our passion for the new and unexplored drives us in our vision to make urban life better. \#milesnotminutes For our team in Berlin we are looking for a Data Engineer f/m/x These will be your tasks
Extend and improve the current BI- infrastructure
Transforming large sets of different data sources into a data warehouse
Building data visualization products to scale data access across the company
Building predictive analytics (e.g. Optimizing our Fleet) in production, in collaboration with our data analysts
Responsibility for our data infrastructure and choosing the right tools
You're offering these qualifications
3+ year experience in Business Intelligence, Data Engineering, Software Engineering
Proven interest in data and algorithms and in-depth knowledge of Python, SQL
Experience with data workflow orchestrators (Airflow, Luigi or similar)
Solid experience working with databases (z.B. PostgreSQL, Bigquery etc.) und cloud-computing-infrastructures (AWS, Azure etc.)
Experience working in an agile software development process
Proactive and self-driven personality
Fluent in English
Nice to have
Basic understanding of mathematics/statistics and machine learning
Experience using Tableau
Fluent in German
We're offering these benefits
Be part of a high-growth company with an established business model
You'll have a high impact with us: We always listen to you and give you the necessary space to bring in and implement your creative ideas
Flat hierarchies? Then you've come to the right place! In addition, you can learn from our smart colleagues and develop professionally
MILES mood = feel good ;) Cool and modern office with modern equipment, joint team lunches and events, drink flat rate, muesli and for the daily ration of sugar, of course also something sweet
"Just using public transportation" was yesterday: with us you'll get a monthly contingent of MILES Credits for free rides
Carsharing with lots of ! At MILES, part of our turnover is invested in regional and social projects, as we are actively committed to the welfare of our society and the environment #milescharity
Does the job description sound good to you? Do not hesitate to submit your application. We are looking forward to hearing from you! : )
If you are excited about automated driving, big data applications or just designing and implementing sophisticated full stack applications, this job is for you! At SiaSearch, we are looking for a full stack engineer to join our team of 15+ experienced, diverse, enthusiastic and open-minded people in Berlin. What we do SiaSearch aspires to bring safe autonomous vehicles into European cities. We are building the leading data refinery platform for autonomous driving data. By using SiaSearch, our customers are able to handle the huge amounts of data generated during automated driving in a smart way. We make sure that the efficiency in the development process of autonomous and intelligent vehicles is maximized and the least possible time is spent on cumbersome data screening tasks. In order to build the leading data platform, our whole pipeline needs to be ready to handle those large amounts of data. Therefore we are looking for a strong full stack engineer to enhance our team! You will work directly with leading European OEMs and Tier 1 suppliers in the highly vibrant and rapidly growing industry of automated and intelligent driving. The tasks are diverse and non-repetitive, building a new and innovative system using state of the art concepts and infrastructure. In addition, you will be an integral part of the overall Merantix family to discuss machine learning, data pipelines, deployment and many more topics with our experts and talents working in other ventures. Tasks
Conceptualize and build a large-scale data management platform
Design and implement an efficient and scalable backend, which is able to handle large amounts of data
Work on and with our data pipeline comprising large-scale data processing, database design and our high performance query engine
Build a customer-facing API
Closely interact with our frontend engineers
Work with and contribute to cutting-edge open-source frameworks
Requirements
BA/BS in computer science or a related technical field
You have a track record in building web applications in fast-paced environments
You appreciate great user experience as much as awesome tech and software architecture
Solid competence in software engineering with Python
You gained experience with deploying software on cloud infrastructure like such as GCP, AWS or Azure
Experience building and deploying websites and web apps with a web framework (Flask, Django, Phoenix, etc.)
Competence and experience with Typescript, JavaScript, CSS and React
You have very good knowledge of Git, Docker, development workflow automation and CI and CD
You gained experience with databases like PostgresSQL, Elasticsearch, MongoDB or similar and distributed processing frameworks like Apache Spark or Flink
You are great at communicating with people, motivating everyone and getting the whole team on the same page
You are naturally curious, happy to explore and learn new things
Entrepreneurial mindset, hands-on mentality, stress resistance and passion to solve big challenges in a simple way
Fluency in English
Bonus points
MS or PhD in related field
Working experience in startup environment
Experience with C++ and Scala
You already gained experience with big data platforms
Expert knowledge in data processing and database design
Experience with ROS, ADTF, MDF or other kinds of data used in the automotive industry
Advanced German
Benefits Our team is made up of entrepreneurs, scientists, and engineers. We’re based in Europe’s startup capital, Berlin, and are growing quickly! Our hierarchy is flat and communication direct, which means that we operate and learn fast, as a team. In addition to a competitive salary and fringe benefits (like company hardware or company lunch on Tuesdays), following aspects are central to our company culture:
Work-life balance: some of us come in during regular business hours, and some of us prefer to start later or earlier. We are a fully trust based organization and belief in the ownership and responsibility of our people.
Professional Development: Be it seminars, workshops, conferences or other methods, we encourage our employees to continuously develop their personal skillset.
Collaborative Culture: We have regular offsites and team dinners. If you want to participate, that’s great! And if you don’t, that’s fine too
We are an equal-opportunity employer and value diversity. We consider all applications equally regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply, and we can help with immigration.
06/04/2020
Full time
If you are excited about automated driving, big data applications or just designing and implementing sophisticated full stack applications, this job is for you! At SiaSearch, we are looking for a full stack engineer to join our team of 15+ experienced, diverse, enthusiastic and open-minded people in Berlin. What we do SiaSearch aspires to bring safe autonomous vehicles into European cities. We are building the leading data refinery platform for autonomous driving data. By using SiaSearch, our customers are able to handle the huge amounts of data generated during automated driving in a smart way. We make sure that the efficiency in the development process of autonomous and intelligent vehicles is maximized and the least possible time is spent on cumbersome data screening tasks. In order to build the leading data platform, our whole pipeline needs to be ready to handle those large amounts of data. Therefore we are looking for a strong full stack engineer to enhance our team! You will work directly with leading European OEMs and Tier 1 suppliers in the highly vibrant and rapidly growing industry of automated and intelligent driving. The tasks are diverse and non-repetitive, building a new and innovative system using state of the art concepts and infrastructure. In addition, you will be an integral part of the overall Merantix family to discuss machine learning, data pipelines, deployment and many more topics with our experts and talents working in other ventures. Tasks
Conceptualize and build a large-scale data management platform
Design and implement an efficient and scalable backend, which is able to handle large amounts of data
Work on and with our data pipeline comprising large-scale data processing, database design and our high performance query engine
Build a customer-facing API
Closely interact with our frontend engineers
Work with and contribute to cutting-edge open-source frameworks
Requirements
BA/BS in computer science or a related technical field
You have a track record in building web applications in fast-paced environments
You appreciate great user experience as much as awesome tech and software architecture
Solid competence in software engineering with Python
You gained experience with deploying software on cloud infrastructure like such as GCP, AWS or Azure
Experience building and deploying websites and web apps with a web framework (Flask, Django, Phoenix, etc.)
Competence and experience with Typescript, JavaScript, CSS and React
You have very good knowledge of Git, Docker, development workflow automation and CI and CD
You gained experience with databases like PostgresSQL, Elasticsearch, MongoDB or similar and distributed processing frameworks like Apache Spark or Flink
You are great at communicating with people, motivating everyone and getting the whole team on the same page
You are naturally curious, happy to explore and learn new things
Entrepreneurial mindset, hands-on mentality, stress resistance and passion to solve big challenges in a simple way
Fluency in English
Bonus points
MS or PhD in related field
Working experience in startup environment
Experience with C++ and Scala
You already gained experience with big data platforms
Expert knowledge in data processing and database design
Experience with ROS, ADTF, MDF or other kinds of data used in the automotive industry
Advanced German
Benefits Our team is made up of entrepreneurs, scientists, and engineers. We’re based in Europe’s startup capital, Berlin, and are growing quickly! Our hierarchy is flat and communication direct, which means that we operate and learn fast, as a team. In addition to a competitive salary and fringe benefits (like company hardware or company lunch on Tuesdays), following aspects are central to our company culture:
Work-life balance: some of us come in during regular business hours, and some of us prefer to start later or earlier. We are a fully trust based organization and belief in the ownership and responsibility of our people.
Professional Development: Be it seminars, workshops, conferences or other methods, we encourage our employees to continuously develop their personal skillset.
Collaborative Culture: We have regular offsites and team dinners. If you want to participate, that’s great! And if you don’t, that’s fine too
We are an equal-opportunity employer and value diversity. We consider all applications equally regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply, and we can help with immigration.
Merantix is an AI Venture Studio located in Berlin. Already today AI automates complex, multi-level processes that used to be dependent on human decision making. Merantix aims to spearhead this development, building the category leaders of tomorrow. At Merantix Venture Studio we build and scale machine learning companies. Through our unique incubation platform, seed financing and exceptional teams of visionary entrepreneurs and engineers, we transfer world-leading research into products that will change existing and create new industries. Merantix currently employs more than 60 team members. Its growing platform constitutes a unique brand with a shared tech and operational infrastructure that attracts talent, resonates with industry partners, and leverages the proven network and product building experience. Tasks Are you passionate about software and data and interested in machine learning? Does the prospect of building applications from scratch excite you? Do you want to play an instrumental role in building deep learning products? Merantix is looking for Software Engineers to join our core team building scalable ventures. Among your main responsibilities will be to:
Help our ventures scale their applications by writing production-ready code
Work with interesting proprietary data sets (i.e. medical imaging, autonomous driving, IoT sensors, and more)
Automate build, test, and delivery
Understand challenging domain-logic (i.e. medical diseases, autonomous driving hardware, IT security)
Keep our python codebase healthy and easily extendable
Develop applications and tools for experimentation, data integration, quality, modelling, etc.
You will use modern frameworks and libraries to build infrastructure that enables training and deploying deep learning models at scale. The tasks are diverse and non-repetitive, as your work will focus on constantly-evolving projects. Some projects will require special considerations, such as low latency, on-premise deployment, high throughput, one-off language bindings. You will work closely with our Machine Intelligence Engineers, profiting from and enriching their expertise. Requirements We define ourselves by a culture of ownership and cooperation. We are looking for driven, capable, visionary and prudent talents with proven track records of personal, academic and professional achievement: Basic qualifications:
BA/BS in Computer Science or related technical field, or equivalent practical experience
Solid competence in software engineering with a common programming language
Willingness to pick up new knowledge as needed
Ability to work with a large and complex code base
Preferred qualifications:
MS or PhD in Computer Science or related technical field
Experience in designing, implementing and running production services
Excellent competence in scientific engineering with Python, including Numpy and TensorFlow
Experience working with cloud infrastructure (GCP, AWS) and/or Docker
Practical understanding of code optimization and efficiency
Knowing and caring about sound engineering practices like version control, clean code, code review, testing, continuous delivery and automation
Relevant industry experience developing data-driven products
Bonus: Skilled with a low-level programming language such as C, C++ or Rust
Bonus: Industry experience working with large-scale data processing (Spark, Flink, Kafka)
The preferred qualifications are just that: preferred. None of us walked in with all of them. If a few of these points apply to you, we definitely want to talk! Benefits Our hierarchy is flat and communication direct, which means that we operate and learn fast, as a team. You are a great fit for our team if this describes you:
Entrepreneurial mindset: creative, focused, and not easily discouraged;
Ability to work in a fast-paced, highly innovative environment where ambiguity is the norm;
Excellent analytical problem-solving skills, with the ability to step back and contextualize the problem and its root;
Independent but cooperative mindset;
Strong organizational and multitasking skills with the ability to prioritize appropriately and effectively;
Love what you do (and own it).
In addition to a competitive salary and equity packages, you can expect the following:
Flexible working hours as we believe in ownership and trust;
Learning & Development Program for all our team members;
Regular team events and intensive exchange with all Merantix companies;
Free drinks, snacks and breakfast;
Equal rights, respect and promotion of diversity
06/04/2020
Full time
Merantix is an AI Venture Studio located in Berlin. Already today AI automates complex, multi-level processes that used to be dependent on human decision making. Merantix aims to spearhead this development, building the category leaders of tomorrow. At Merantix Venture Studio we build and scale machine learning companies. Through our unique incubation platform, seed financing and exceptional teams of visionary entrepreneurs and engineers, we transfer world-leading research into products that will change existing and create new industries. Merantix currently employs more than 60 team members. Its growing platform constitutes a unique brand with a shared tech and operational infrastructure that attracts talent, resonates with industry partners, and leverages the proven network and product building experience. Tasks Are you passionate about software and data and interested in machine learning? Does the prospect of building applications from scratch excite you? Do you want to play an instrumental role in building deep learning products? Merantix is looking for Software Engineers to join our core team building scalable ventures. Among your main responsibilities will be to:
Help our ventures scale their applications by writing production-ready code
Work with interesting proprietary data sets (i.e. medical imaging, autonomous driving, IoT sensors, and more)
Automate build, test, and delivery
Understand challenging domain-logic (i.e. medical diseases, autonomous driving hardware, IT security)
Keep our python codebase healthy and easily extendable
Develop applications and tools for experimentation, data integration, quality, modelling, etc.
You will use modern frameworks and libraries to build infrastructure that enables training and deploying deep learning models at scale. The tasks are diverse and non-repetitive, as your work will focus on constantly-evolving projects. Some projects will require special considerations, such as low latency, on-premise deployment, high throughput, one-off language bindings. You will work closely with our Machine Intelligence Engineers, profiting from and enriching their expertise. Requirements We define ourselves by a culture of ownership and cooperation. We are looking for driven, capable, visionary and prudent talents with proven track records of personal, academic and professional achievement: Basic qualifications:
BA/BS in Computer Science or related technical field, or equivalent practical experience
Solid competence in software engineering with a common programming language
Willingness to pick up new knowledge as needed
Ability to work with a large and complex code base
Preferred qualifications:
MS or PhD in Computer Science or related technical field
Experience in designing, implementing and running production services
Excellent competence in scientific engineering with Python, including Numpy and TensorFlow
Experience working with cloud infrastructure (GCP, AWS) and/or Docker
Practical understanding of code optimization and efficiency
Knowing and caring about sound engineering practices like version control, clean code, code review, testing, continuous delivery and automation
Relevant industry experience developing data-driven products
Bonus: Skilled with a low-level programming language such as C, C++ or Rust
Bonus: Industry experience working with large-scale data processing (Spark, Flink, Kafka)
The preferred qualifications are just that: preferred. None of us walked in with all of them. If a few of these points apply to you, we definitely want to talk! Benefits Our hierarchy is flat and communication direct, which means that we operate and learn fast, as a team. You are a great fit for our team if this describes you:
Entrepreneurial mindset: creative, focused, and not easily discouraged;
Ability to work in a fast-paced, highly innovative environment where ambiguity is the norm;
Excellent analytical problem-solving skills, with the ability to step back and contextualize the problem and its root;
Independent but cooperative mindset;
Strong organizational and multitasking skills with the ability to prioritize appropriately and effectively;
Love what you do (and own it).
In addition to a competitive salary and equity packages, you can expect the following:
Flexible working hours as we believe in ownership and trust;
Learning & Development Program for all our team members;
Regular team events and intensive exchange with all Merantix companies;
Free drinks, snacks and breakfast;
Equal rights, respect and promotion of diversity
Seit der Gründung der BridgingIT GmbH im Jahr 2008 haben wir uns zu einem sehr erfolgreichen Unternehmen mit über 500 Mitarbeitern entwickelt. Als „Brückenbauer“ beraten wir branchen- und herstellerübergreifend an der Schnittstelle zwischen Business und IT zu verschiedensten Technologie- und Themenbereichen. Unsere Kunden schätzen nicht nur die Expertise der Menschen bei bridgingIT, die geographische Nähe zu unseren Lokationen, sondern auch die langjährige und nachhaltige Zusammenarbeit ZDF steht für Sie nicht für einen Fernsehsender, sondern vielmehr für die analytische Methodik wie Sie Zahlen, Daten und Fakten aufbereiten? OR steht für Sie nicht nur für eine Disjunktion, sondern stellt für Sie primär einen Methodenkoffer zur Modellierung und Optimierung mathematischer Problemstellungen dar? Python ist für Sie keine Schlange, sondern Ihre Lieblingssprache? Wenn Sie wie wir auch nur Daten im Kopf haben sind Sie in unserem Analytics Team bestens aufgehoben! Aufgaben
Eigenverantwortliche Mitarbeit bei der Umsetzung von Data Science und Machine Learning Projekten
Konzeption und Entwicklung von mathematischen Modellen mittels R und/oder Python Programmierung
Visualisierung der Lösungen mit Analytics Technologien wie bspw. Tableau, Power BI oder SAP Lumira
Bei Interesse: Verantwortung für Weiterbildungsmaßnahmen und Mitarbeiterführung als Projektleiter
Unterstützung bei Ausschreibungen, Pre-Sales Terminen
Qualifikation
Begeisterung für Mathematik, Zahlen, Daten und Digitalisierungslösungen
Mehrjährige Erfahrung in relationalen Datenbanken und Data Mining Methoden
Fundierte Programmierkenntnisse in R und/oder Python sowie Skills in SQL
Motivierter Teamplayer für Kollegen und kommunikativer Berater für Kunden
Studium der Wirtschaftsinformatik, VWL, Informatik, Mathematik, Physik oder Ingenieurwissenschaften
Benefits Bei uns genießen Sie die Vorteile eines stabilen, stark wachsenden Mittelständlers mit dem Unternehmergeist eines Start-ups. Unsere respektvolle und wertschätzende Duz- und Firmenkultur ist geprägt von Innovationskraft und Teamgeist sowie intensivem, themenübergreifendem Wissens-und Erfahrungsaustausch. Persönliches Mentoring für den optimalen Einstieg, kontinuierliche interne und externe Weiterbildungsmaßnahmen sind bei uns ebenso selbstverständlich wie individuelle Coachings, um Ihnen den unternehmensinternen Aufstieg zu ermöglichen. Durch die geographische Nähe zu unseren Kunden, flexible Arbeitszeitmodelle sowie der Option vom Home-Office zu arbeiten, können wir bei der Planung unserer Projekte Ihre besondere Lebenssituation berücksichtigen. Falls Sie Fragen zur Stelle oder zum Bewerbungsprozess haben, können Sie sich gerne an unsere Recruiting-Ansprechpartnerin wenden!
06/04/2020
Full time
Seit der Gründung der BridgingIT GmbH im Jahr 2008 haben wir uns zu einem sehr erfolgreichen Unternehmen mit über 500 Mitarbeitern entwickelt. Als „Brückenbauer“ beraten wir branchen- und herstellerübergreifend an der Schnittstelle zwischen Business und IT zu verschiedensten Technologie- und Themenbereichen. Unsere Kunden schätzen nicht nur die Expertise der Menschen bei bridgingIT, die geographische Nähe zu unseren Lokationen, sondern auch die langjährige und nachhaltige Zusammenarbeit ZDF steht für Sie nicht für einen Fernsehsender, sondern vielmehr für die analytische Methodik wie Sie Zahlen, Daten und Fakten aufbereiten? OR steht für Sie nicht nur für eine Disjunktion, sondern stellt für Sie primär einen Methodenkoffer zur Modellierung und Optimierung mathematischer Problemstellungen dar? Python ist für Sie keine Schlange, sondern Ihre Lieblingssprache? Wenn Sie wie wir auch nur Daten im Kopf haben sind Sie in unserem Analytics Team bestens aufgehoben! Aufgaben
Eigenverantwortliche Mitarbeit bei der Umsetzung von Data Science und Machine Learning Projekten
Konzeption und Entwicklung von mathematischen Modellen mittels R und/oder Python Programmierung
Visualisierung der Lösungen mit Analytics Technologien wie bspw. Tableau, Power BI oder SAP Lumira
Bei Interesse: Verantwortung für Weiterbildungsmaßnahmen und Mitarbeiterführung als Projektleiter
Unterstützung bei Ausschreibungen, Pre-Sales Terminen
Qualifikation
Begeisterung für Mathematik, Zahlen, Daten und Digitalisierungslösungen
Mehrjährige Erfahrung in relationalen Datenbanken und Data Mining Methoden
Fundierte Programmierkenntnisse in R und/oder Python sowie Skills in SQL
Motivierter Teamplayer für Kollegen und kommunikativer Berater für Kunden
Studium der Wirtschaftsinformatik, VWL, Informatik, Mathematik, Physik oder Ingenieurwissenschaften
Benefits Bei uns genießen Sie die Vorteile eines stabilen, stark wachsenden Mittelständlers mit dem Unternehmergeist eines Start-ups. Unsere respektvolle und wertschätzende Duz- und Firmenkultur ist geprägt von Innovationskraft und Teamgeist sowie intensivem, themenübergreifendem Wissens-und Erfahrungsaustausch. Persönliches Mentoring für den optimalen Einstieg, kontinuierliche interne und externe Weiterbildungsmaßnahmen sind bei uns ebenso selbstverständlich wie individuelle Coachings, um Ihnen den unternehmensinternen Aufstieg zu ermöglichen. Durch die geographische Nähe zu unseren Kunden, flexible Arbeitszeitmodelle sowie der Option vom Home-Office zu arbeiten, können wir bei der Planung unserer Projekte Ihre besondere Lebenssituation berücksichtigen. Falls Sie Fragen zur Stelle oder zum Bewerbungsprozess haben, können Sie sich gerne an unsere Recruiting-Ansprechpartnerin wenden!
Unsere Mission: Für die Fertigungsindustrie bieten wir weltweit Industrieservice auf Spitzenniveau.
Mit Leidenschaft und Herzblut sind wir Dienstleister für die Automobil- und Fertigungsindustrie. Seit über 50 Jahren verlassen sich unsere Kunden nun schon auf uns. Dabei sind wir projektweise oder langfristig vor Ort in großen oder kleinen Teams. Wie wir das schaffen? Wir sind Menschen, die anpacken: Problemlöser, Multitalente, verlässlicher Ansprechpartner, Wegbereiter und wenn nötig auch mal Feuerwehr. Aber vor allem sind wir eins: Hilfsbereite Kollegen.
Unser Unternehmen, mit Hauptsitz in Stuttgart, beschäftigt knapp 20.000 Mitarbeiter weltweit und erzielte im Jahr 2017 einen Umsatz von rund 900 Mio. Euro. Wir sind an mehr als 200 Standorten ansässig, oft direkt in den Werken der Kunden.
As service providers to the automotive and manufacturing industries we put our heart and soul into what we do. Our customers have been relying on us for over 50 years now. We take on projects in electrical installation, assembly, automation, maintenance, technical cleaning, facility management and logistics. We’re people who get things done. We are problem-solvers, all-rounders, reliable partners and pioneers, and we’re great at dealing with emergencies where necessary. But above all, we’re here to help.
Yet, there is change: Ubiquitous Connectedness, enabling the Internet of Things Industry 4.0 are fundamentally changing manufacturing industries at all levels. Not only will existing products, solutions and services reach new levels of performance - new offers will become possible complementing or disrupting the current state-of-the-art, leading to new and innovative business models. To address the challenges, but more importantly to capture the opportunities inherent to such industry transformation we have set-up the Leadec Smart Factory Group.
We are offering an exciting 2 years working assignment under the dual studies program at our corporate headquarters in Stuttgart
dual studies program: Digital Pioneer Smart Factory (m/f/x)
Ref.NO.: STU2125
Your Mission
Drive transformation : Support, manage and drive the processes to refine value propositions for Smart Factory innovation; prepare business cases; facilitate implementation of Minimum Viable Products (MVPs)
Tackle tasks: App and MVP development
Gather market Intelligence : Support, review and aggregate relevant market information about start-ups, technology providers, ecosystems, business Models etc.
Provide assistance: Support the Smart Factory Group in documentation and presentation of activities
Your Profil
Qualification: Bachelors´ Degree in Computer Science, Business Informatics, Business & Engineering, Electrical Engineering
Know-How: Basic knowledge in innovation management, Agile/Scrum and Design Thinking Methods; experience with e.g. Java/Python, HTML5/JavaScript, Databases (SQL), Sensors, Data Analytics, Machine Learning
Personality: Creative and hands-on mentality; quick and outside-the-box thinking; strong interest in trends and technologies regarding Smart Manufacturing
What we offer
Team: Being part of an entrepreneurial and innovative team
Opportunities: A great learning opportunity and good potential for a subsequent job offer
Remuneration: Attractive remuneration commensurate with your qualifications
Vacation: 30 days
Benefits: Employer’s contribution to company pension; "Me@Leadec" corporate benefits program for employees
Apply now to become part of the Leadec Team! You don’t need a cover letter. For more information on Leadec go to: http://www.leadec-services.com/karriere
Contact
Career Center Frau Iris Jaus
Leadec Management Central Europe BV & Co. KG Meitnerstraße 11 70563 Stuttgart Germany
Phone: +49 711 7841 432
06/04/2020
Full time
Unsere Mission: Für die Fertigungsindustrie bieten wir weltweit Industrieservice auf Spitzenniveau.
Mit Leidenschaft und Herzblut sind wir Dienstleister für die Automobil- und Fertigungsindustrie. Seit über 50 Jahren verlassen sich unsere Kunden nun schon auf uns. Dabei sind wir projektweise oder langfristig vor Ort in großen oder kleinen Teams. Wie wir das schaffen? Wir sind Menschen, die anpacken: Problemlöser, Multitalente, verlässlicher Ansprechpartner, Wegbereiter und wenn nötig auch mal Feuerwehr. Aber vor allem sind wir eins: Hilfsbereite Kollegen.
Unser Unternehmen, mit Hauptsitz in Stuttgart, beschäftigt knapp 20.000 Mitarbeiter weltweit und erzielte im Jahr 2017 einen Umsatz von rund 900 Mio. Euro. Wir sind an mehr als 200 Standorten ansässig, oft direkt in den Werken der Kunden.
As service providers to the automotive and manufacturing industries we put our heart and soul into what we do. Our customers have been relying on us for over 50 years now. We take on projects in electrical installation, assembly, automation, maintenance, technical cleaning, facility management and logistics. We’re people who get things done. We are problem-solvers, all-rounders, reliable partners and pioneers, and we’re great at dealing with emergencies where necessary. But above all, we’re here to help.
Yet, there is change: Ubiquitous Connectedness, enabling the Internet of Things Industry 4.0 are fundamentally changing manufacturing industries at all levels. Not only will existing products, solutions and services reach new levels of performance - new offers will become possible complementing or disrupting the current state-of-the-art, leading to new and innovative business models. To address the challenges, but more importantly to capture the opportunities inherent to such industry transformation we have set-up the Leadec Smart Factory Group.
We are offering an exciting 2 years working assignment under the dual studies program at our corporate headquarters in Stuttgart
dual studies program: Digital Pioneer Smart Factory (m/f/x)
Ref.NO.: STU2125
Your Mission
Drive transformation : Support, manage and drive the processes to refine value propositions for Smart Factory innovation; prepare business cases; facilitate implementation of Minimum Viable Products (MVPs)
Tackle tasks: App and MVP development
Gather market Intelligence : Support, review and aggregate relevant market information about start-ups, technology providers, ecosystems, business Models etc.
Provide assistance: Support the Smart Factory Group in documentation and presentation of activities
Your Profil
Qualification: Bachelors´ Degree in Computer Science, Business Informatics, Business & Engineering, Electrical Engineering
Know-How: Basic knowledge in innovation management, Agile/Scrum and Design Thinking Methods; experience with e.g. Java/Python, HTML5/JavaScript, Databases (SQL), Sensors, Data Analytics, Machine Learning
Personality: Creative and hands-on mentality; quick and outside-the-box thinking; strong interest in trends and technologies regarding Smart Manufacturing
What we offer
Team: Being part of an entrepreneurial and innovative team
Opportunities: A great learning opportunity and good potential for a subsequent job offer
Remuneration: Attractive remuneration commensurate with your qualifications
Vacation: 30 days
Benefits: Employer’s contribution to company pension; "Me@Leadec" corporate benefits program for employees
Apply now to become part of the Leadec Team! You don’t need a cover letter. For more information on Leadec go to: http://www.leadec-services.com/karriere
Contact
Career Center Frau Iris Jaus
Leadec Management Central Europe BV & Co. KG Meitnerstraße 11 70563 Stuttgart Germany
Phone: +49 711 7841 432
We are harnessing machine learning to revolutionize the bioeconomy. Bioinformatics and machine learning will enable numerous steps in synthetic biological processes and generate novel solutions for a sustainable future. Come join our venture to engineer the tools of the future economy. You will be one of the early employees, having an outsized impact, shaping the company through your efforts, scientific experience and industry expertise. We are incubated at Merantix, an AI Venture Studio which conceptualizes, builds and scales machine learning companies. Merantix is distinct in its attraction of world-class talents, trust from European´s leading organizations and dynamic culture across its ventures. Our team is made up of 60 engineers, scientists, and entrepreneurs from leading universities. Many of us hold a Ph.D. and gained experience at top-tier tech companies. We are looking for a Systems Metabolic Engineer to enhance our team and to help us build the next generation of machine learning applications for the bioeconomy. Tasks You will use a combination of Genome-scale metabolic models (GSSM) and machine learning to build the most accurate organismal models to date. Working with our academic and industry partners, you will create ‘in silico’ models to aid in strain optimization. Additionally, you will help build infrastructure that enables data gathering and experimental planning at scale. The tasks are diverse and non-repetitive, as we constantly receive new projects from industrial and academic partners. Successful projects will be highly automated via clean, maintainable code. You will work in a team with biologists, bioinformaticians, machine learning experts and business analysts to create the newest tools to enable the bioeconomy. Your main responsibilities will include:
Augment and develop current GSSMs using the latest in machine learning techniques;
Work closely with our academic and industrial partners to design experiments and steer the venture’s part in the collaboration;
Deploy models at partners as needed;
Keep up-to-date with the latest advances in the field;
Drive long-term success by building or integrating new technologies;
Manage multiple projects allowing us to deliver useful tools to our partners as well as internal proof of concepts;
Develop a scientific and technical vision of the venture together with a collaborative, interdisciplinary and entrepreneurial team.
Requirements We define ourselves by a culture of ownership and cooperation. We are looking for driven, capable, visionary and prudent talents with proven track records of personal, academic and professional achievement:
MSc or PhD in Chemical or Biological Engineering with experience in metabolomics and machine learning;
Exceptional competence in GSSMs and experience in applied machine learning and software engineering and its application in biology;
Mathematics background, experience with supervised learning, dynamic systems and control theory, ODE solvers and multivariate statistics;
Experience with several of the following technologies: Google Cloud Platform, TensorFlow, Apache Beam, Google Cloud ML, Docker, or PyTorch;
Passion for exploration and execution of ‘proof of concept’ projects;
Intense drive to learn new skills and utilize new technologies;
Ability to work in a fast paced environment, dealing with uncertainty and building something from the ground up;
Outstanding communication and interpersonal skills.
Benefits Our hierarchy is flat and communication direct, which means that we operate and learn fast, as a team. You are a great fit for our team if this describes you:
Entrepreneurial mindset: creative, focused, and not easily discouraged;
Ability to work in a fast-paced, highly innovative environment where ambiguity is the norm;
Excellent analytical problem-solving skills, with the ability to step back and contextualize the problem and its root;
Independent but cooperative mindset;
Strong organizational and multitasking skills with the ability to prioritize appropriately and effectively;
Love what you do (and own it).
In addition to a competitive salary and equity package, you can expect the following:
Flexible working hours as we believe in ownership and trust;
Learning & Development Program for all our team members;
Regular team events and intensive exchange with all Merantix companies;
Free drinks, snacks and breakfast.
We are an equal-opportunity employer and value diversity. We consider all applications equally regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply, and we can help with immigration.
06/04/2020
Full time
We are harnessing machine learning to revolutionize the bioeconomy. Bioinformatics and machine learning will enable numerous steps in synthetic biological processes and generate novel solutions for a sustainable future. Come join our venture to engineer the tools of the future economy. You will be one of the early employees, having an outsized impact, shaping the company through your efforts, scientific experience and industry expertise. We are incubated at Merantix, an AI Venture Studio which conceptualizes, builds and scales machine learning companies. Merantix is distinct in its attraction of world-class talents, trust from European´s leading organizations and dynamic culture across its ventures. Our team is made up of 60 engineers, scientists, and entrepreneurs from leading universities. Many of us hold a Ph.D. and gained experience at top-tier tech companies. We are looking for a Systems Metabolic Engineer to enhance our team and to help us build the next generation of machine learning applications for the bioeconomy. Tasks You will use a combination of Genome-scale metabolic models (GSSM) and machine learning to build the most accurate organismal models to date. Working with our academic and industry partners, you will create ‘in silico’ models to aid in strain optimization. Additionally, you will help build infrastructure that enables data gathering and experimental planning at scale. The tasks are diverse and non-repetitive, as we constantly receive new projects from industrial and academic partners. Successful projects will be highly automated via clean, maintainable code. You will work in a team with biologists, bioinformaticians, machine learning experts and business analysts to create the newest tools to enable the bioeconomy. Your main responsibilities will include:
Augment and develop current GSSMs using the latest in machine learning techniques;
Work closely with our academic and industrial partners to design experiments and steer the venture’s part in the collaboration;
Deploy models at partners as needed;
Keep up-to-date with the latest advances in the field;
Drive long-term success by building or integrating new technologies;
Manage multiple projects allowing us to deliver useful tools to our partners as well as internal proof of concepts;
Develop a scientific and technical vision of the venture together with a collaborative, interdisciplinary and entrepreneurial team.
Requirements We define ourselves by a culture of ownership and cooperation. We are looking for driven, capable, visionary and prudent talents with proven track records of personal, academic and professional achievement:
MSc or PhD in Chemical or Biological Engineering with experience in metabolomics and machine learning;
Exceptional competence in GSSMs and experience in applied machine learning and software engineering and its application in biology;
Mathematics background, experience with supervised learning, dynamic systems and control theory, ODE solvers and multivariate statistics;
Experience with several of the following technologies: Google Cloud Platform, TensorFlow, Apache Beam, Google Cloud ML, Docker, or PyTorch;
Passion for exploration and execution of ‘proof of concept’ projects;
Intense drive to learn new skills and utilize new technologies;
Ability to work in a fast paced environment, dealing with uncertainty and building something from the ground up;
Outstanding communication and interpersonal skills.
Benefits Our hierarchy is flat and communication direct, which means that we operate and learn fast, as a team. You are a great fit for our team if this describes you:
Entrepreneurial mindset: creative, focused, and not easily discouraged;
Ability to work in a fast-paced, highly innovative environment where ambiguity is the norm;
Excellent analytical problem-solving skills, with the ability to step back and contextualize the problem and its root;
Independent but cooperative mindset;
Strong organizational and multitasking skills with the ability to prioritize appropriately and effectively;
Love what you do (and own it).
In addition to a competitive salary and equity package, you can expect the following:
Flexible working hours as we believe in ownership and trust;
Learning & Development Program for all our team members;
Regular team events and intensive exchange with all Merantix companies;
Free drinks, snacks and breakfast.
We are an equal-opportunity employer and value diversity. We consider all applications equally regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply, and we can help with immigration.
If you are excited about automated driving, big data applications or just designing and implementing sophisticated full stack applications, this job is for you! At SiaSearch, we are looking for a talented and motivated machine intelligence engineering intern to join our team of 15+ experienced, diverse, enthusiastic and open-minded people in Berlin. What we do At SiaSearch our vision is to bring secure L4 and L5 autonomous vehicles (AVs) into European cities. We are building solutions for intelligent data extraction, which automatically filter and categorize raw sensor data collected by AVs and extract semantic metrics relevant for autonomous driving. This does not only critically accelerate development and deployment but can also make data storage more efficient by focusing on the important parts in the data. Therefore, we need to replace human intelligence in the data screening process with sophisticated machine intelligence. We are currently working with multiple leading OEMs, Tier 1 suppliers and AV startups to speed up and improve software deployment. Our team is growing quickly and we are looking for experienced machine intelligence engineers who ideally gained hands-on experience with AV sensor data. Tasks SiaSearch is looking for a machine intelligence engineering intern to join our team and help us to build the leading intelligent data platform for autonomous driving. A critical part in delivering this vision is our contribution to high profile research projects together with leading automotive companies in Europe, funded by the German government as well as the European Union. This is why we are searching for talented engineers to lead these projects at Merantix: Your responsibilities will include:
Research and prototype state-of-the-art deep-learning models with a focus on safety and robustness in ADAS / autonomous driving solutions
Independently architect and design implementations in collaboration with partner companies
Take on full leadership of the initiatives, including project management and execution
Formalize and present progress as well as results of the project externally, including regular travel opportunities for meetings and conferences
You will use cutting edge frameworks and infrastructure that enables training, testing, simulation and deployment of autonomous driving technology. You will work directly with leading researchers of top OEMs, AV companies and Tier 1 suppliers in the highly vibrant and rapidly growing industry of autonomous driving. Requirements We're looking for driven, visionary and thoughtful people with a proven track record of personal, academic and professional achievement: Basic qualifications:
MA/MS in computer science or a related technical field, or equivalent practical experience
Demonstrated programming experience with a variety of (deep) machine-learning tasks
Proven experience in independently managing and completing complex technical projects
You know and care about sound engineering practices like version control, clean code, code review, testing, continuous delivery and automation
Solid understanding of cloud infrastructure (GCP, AWS)
Solid competence in software engineering with a common programming language such as Python, C++, or similar
Fascination and enthusiasm for the conceptualization, development and deployment of autonomous vehicles as well as related technologies
Confidence and ability to interact with several external project leads, manage interdependent work streams and to design as well as to explain complex technical solutions
Excellent oral & written communication skills in German and English
Preferred qualifications:
PhD in computer science, machine learning, or related technical field
Demonstrated experience in independently developing integrated ML software solutions, including backend and frontend
Experience delivering high-quality code reviews and working with a large codebase
Proven leadership experience and passion for people development
In depth experience scaling cloud infrastructure (GCP, AWS) in production
Practical mastery of code optimisation and efficiency
Experience with Apache Beam, Docker
Understanding advanced sensor setups of autonomous cars, i.e. handling data from camera, lidar, radar, or ultrasonic sensors
The preferred qualifications are just that: preferred. None of us walked in with all of them. If a few of these points apply to you, we definitely want to talk! Benefits Our hierarchy is flat and communication direct, which means that we operate and learn fast, as a team. You are a great fit for our team if this describes you:
Creative and technical environment: As we work on cutting edge technology, we are forced to do things differently and take new paths. We love challenging the status quo and finding creative solutions for challenges.
Competitive salary and benefits (e.g. company hardware and lunches).
Work-life balance: Some of us come in during regular business hours, and some of us prefer to start later or earlier. We are a fully trust based organization and believe in ownership and responsibility.
Professional Development: We encourage our employees to continuously develop their personal skill set at seminars, workshops, conferences or through other methods.
Collaborative Culture: We have regular offsites and team dinners. If you want to participate, that's great! And if you don't, that's fine, too.
We are an equal-opportunity employer and value diversity. We consider all applications equally regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply, and we can help with immigration.
06/04/2020
Full time
If you are excited about automated driving, big data applications or just designing and implementing sophisticated full stack applications, this job is for you! At SiaSearch, we are looking for a talented and motivated machine intelligence engineering intern to join our team of 15+ experienced, diverse, enthusiastic and open-minded people in Berlin. What we do At SiaSearch our vision is to bring secure L4 and L5 autonomous vehicles (AVs) into European cities. We are building solutions for intelligent data extraction, which automatically filter and categorize raw sensor data collected by AVs and extract semantic metrics relevant for autonomous driving. This does not only critically accelerate development and deployment but can also make data storage more efficient by focusing on the important parts in the data. Therefore, we need to replace human intelligence in the data screening process with sophisticated machine intelligence. We are currently working with multiple leading OEMs, Tier 1 suppliers and AV startups to speed up and improve software deployment. Our team is growing quickly and we are looking for experienced machine intelligence engineers who ideally gained hands-on experience with AV sensor data. Tasks SiaSearch is looking for a machine intelligence engineering intern to join our team and help us to build the leading intelligent data platform for autonomous driving. A critical part in delivering this vision is our contribution to high profile research projects together with leading automotive companies in Europe, funded by the German government as well as the European Union. This is why we are searching for talented engineers to lead these projects at Merantix: Your responsibilities will include:
Research and prototype state-of-the-art deep-learning models with a focus on safety and robustness in ADAS / autonomous driving solutions
Independently architect and design implementations in collaboration with partner companies
Take on full leadership of the initiatives, including project management and execution
Formalize and present progress as well as results of the project externally, including regular travel opportunities for meetings and conferences
You will use cutting edge frameworks and infrastructure that enables training, testing, simulation and deployment of autonomous driving technology. You will work directly with leading researchers of top OEMs, AV companies and Tier 1 suppliers in the highly vibrant and rapidly growing industry of autonomous driving. Requirements We're looking for driven, visionary and thoughtful people with a proven track record of personal, academic and professional achievement: Basic qualifications:
MA/MS in computer science or a related technical field, or equivalent practical experience
Demonstrated programming experience with a variety of (deep) machine-learning tasks
Proven experience in independently managing and completing complex technical projects
You know and care about sound engineering practices like version control, clean code, code review, testing, continuous delivery and automation
Solid understanding of cloud infrastructure (GCP, AWS)
Solid competence in software engineering with a common programming language such as Python, C++, or similar
Fascination and enthusiasm for the conceptualization, development and deployment of autonomous vehicles as well as related technologies
Confidence and ability to interact with several external project leads, manage interdependent work streams and to design as well as to explain complex technical solutions
Excellent oral & written communication skills in German and English
Preferred qualifications:
PhD in computer science, machine learning, or related technical field
Demonstrated experience in independently developing integrated ML software solutions, including backend and frontend
Experience delivering high-quality code reviews and working with a large codebase
Proven leadership experience and passion for people development
In depth experience scaling cloud infrastructure (GCP, AWS) in production
Practical mastery of code optimisation and efficiency
Experience with Apache Beam, Docker
Understanding advanced sensor setups of autonomous cars, i.e. handling data from camera, lidar, radar, or ultrasonic sensors
The preferred qualifications are just that: preferred. None of us walked in with all of them. If a few of these points apply to you, we definitely want to talk! Benefits Our hierarchy is flat and communication direct, which means that we operate and learn fast, as a team. You are a great fit for our team if this describes you:
Creative and technical environment: As we work on cutting edge technology, we are forced to do things differently and take new paths. We love challenging the status quo and finding creative solutions for challenges.
Competitive salary and benefits (e.g. company hardware and lunches).
Work-life balance: Some of us come in during regular business hours, and some of us prefer to start later or earlier. We are a fully trust based organization and believe in ownership and responsibility.
Professional Development: We encourage our employees to continuously develop their personal skill set at seminars, workshops, conferences or through other methods.
Collaborative Culture: We have regular offsites and team dinners. If you want to participate, that's great! And if you don't, that's fine, too.
We are an equal-opportunity employer and value diversity. We consider all applications equally regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply, and we can help with immigration.
Are you passionate about developing impactful applications of machine learning? Does the prospect of dealing with complex problems in an exciting domain interest you? Do you want to play an instrumental role in building deep learning products? We are looking for an ambitious Machine Learning Engineer to enhance our team and to help us build the next generation of machine learning applications for the healthcare industry. What we do At Merantix Healthcare, we aim to make high-quality diagnostic services accessible to patients all around the world by applying machine learning to medical images. Our product, Vara, enables radiologists to reach superior diagnostic performance at spotting cancer by automating the diagnosis of non-malignant exams. Our team is made up of 25 entrepreneurs, medical doctors, and engineers from top-tier companies (e.g. Google, Amazon, BCG) and universities (e.g. Oxford, Stanford, University of St. Gallen) around the world. We’re based in Europe’s startup capital, Berlin, and are growing quickly! Further information can be found on our website: www.varahealthcare.com. Tasks You will use modern machine learning frameworks to develop models for medical data and will build infrastructure that enables training and deploying deep learning models at scale. The tasks are diverse and non-repetitive, as we constantly strive to improve our models with new methods. Successful projects will be highly automated via clean, maintainable code. You will work in a team with our machine intelligence, data and software engineers, profiting from and enriching their expertise. Your main responsibilities will include:
Research and building state-of-the-art deep learning models
Design terabyte-scale data pipelines
Data analysis, experiment design and clean evaluation
Learning about the medical domain to understand how to build better models
Clear communication of results in the team
Requirements We define ourselves by a culture of friendship and ownership. We’re looking for capable, driven, and thoughtful people to add to our vision. Basic qualifications:
BA/BS in computer science or related technical field, or equivalent practical experience
Experience in applied machine learning and software engineering
The preferred qualifications are just that: preferred. None of us walked in with all of them. If a few of these points apply to you, we definitely want to talk! Preferred qualifications:
MSc or PhD in computer science, machine learning, or related technical field
Exceptional competence in two of the following and a demonstrated interest in the other: Applied machine learning, software engineering and medical imaging
Experience with one or more of the following technologies: Google Cloud Platform, TensorFlow, Apache Beam, Google Cloud ML, or Docker
Industry experience working with machine learning frameworks, large-scale data processing systems, or cloud infrastructure
Significant industry experience developing enterprise or data products
Background in deep learning, computer vision, NLP, or related fields
Benefits We believe in ownership, flat hierarchy and direct communication, which means that we operate and learn fast, as a team. In addition to a competitive salary, equity package and fringe benefits (like company hardware or company lunches), the following aspects are central to our company culture:
Dynamic working culture: Merantix Healthcare offers a dynamic and flexible work environment. Some of us come in during regular business hours, and some of us prefer to start later or earlier. We are a fully trust-based organization and believe in ownership, personal responsibility, and the motivation of our people.
Professional Development: be it seminars, workshops, conferences or other methods, we encourage our employees to continuously develop their personal skill set.
Collaborative Culture: we have regular off sites and team dinners. If you want to participate, that’s great! And if you don’t, that’s fine too.
Excellence: We are driven researchers, developers and entrepreneurs who believe in what they create and are committed to the success of it. In order to build disruptive products, we strive for outstanding quality and visionary ideas in a high-performance environment.
We are an equal opportunity employer and value diversity. We consider all applications equally regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply, and we can help with immigration
06/04/2020
Full time
Are you passionate about developing impactful applications of machine learning? Does the prospect of dealing with complex problems in an exciting domain interest you? Do you want to play an instrumental role in building deep learning products? We are looking for an ambitious Machine Learning Engineer to enhance our team and to help us build the next generation of machine learning applications for the healthcare industry. What we do At Merantix Healthcare, we aim to make high-quality diagnostic services accessible to patients all around the world by applying machine learning to medical images. Our product, Vara, enables radiologists to reach superior diagnostic performance at spotting cancer by automating the diagnosis of non-malignant exams. Our team is made up of 25 entrepreneurs, medical doctors, and engineers from top-tier companies (e.g. Google, Amazon, BCG) and universities (e.g. Oxford, Stanford, University of St. Gallen) around the world. We’re based in Europe’s startup capital, Berlin, and are growing quickly! Further information can be found on our website: www.varahealthcare.com. Tasks You will use modern machine learning frameworks to develop models for medical data and will build infrastructure that enables training and deploying deep learning models at scale. The tasks are diverse and non-repetitive, as we constantly strive to improve our models with new methods. Successful projects will be highly automated via clean, maintainable code. You will work in a team with our machine intelligence, data and software engineers, profiting from and enriching their expertise. Your main responsibilities will include:
Research and building state-of-the-art deep learning models
Design terabyte-scale data pipelines
Data analysis, experiment design and clean evaluation
Learning about the medical domain to understand how to build better models
Clear communication of results in the team
Requirements We define ourselves by a culture of friendship and ownership. We’re looking for capable, driven, and thoughtful people to add to our vision. Basic qualifications:
BA/BS in computer science or related technical field, or equivalent practical experience
Experience in applied machine learning and software engineering
The preferred qualifications are just that: preferred. None of us walked in with all of them. If a few of these points apply to you, we definitely want to talk! Preferred qualifications:
MSc or PhD in computer science, machine learning, or related technical field
Exceptional competence in two of the following and a demonstrated interest in the other: Applied machine learning, software engineering and medical imaging
Experience with one or more of the following technologies: Google Cloud Platform, TensorFlow, Apache Beam, Google Cloud ML, or Docker
Industry experience working with machine learning frameworks, large-scale data processing systems, or cloud infrastructure
Significant industry experience developing enterprise or data products
Background in deep learning, computer vision, NLP, or related fields
Benefits We believe in ownership, flat hierarchy and direct communication, which means that we operate and learn fast, as a team. In addition to a competitive salary, equity package and fringe benefits (like company hardware or company lunches), the following aspects are central to our company culture:
Dynamic working culture: Merantix Healthcare offers a dynamic and flexible work environment. Some of us come in during regular business hours, and some of us prefer to start later or earlier. We are a fully trust-based organization and believe in ownership, personal responsibility, and the motivation of our people.
Professional Development: be it seminars, workshops, conferences or other methods, we encourage our employees to continuously develop their personal skill set.
Collaborative Culture: we have regular off sites and team dinners. If you want to participate, that’s great! And if you don’t, that’s fine too.
Excellence: We are driven researchers, developers and entrepreneurs who believe in what they create and are committed to the success of it. In order to build disruptive products, we strive for outstanding quality and visionary ideas in a high-performance environment.
We are an equal opportunity employer and value diversity. We consider all applications equally regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply, and we can help with immigration
We are harnessing machine learning to revolutionize the bioeconomy. Bioinformatics and machine learning will enable numerous steps in synthetic biological processes and generate novel solutions for a sustainable future. Come join our venture to engineer the tools of the future economy. You will be one of the early employees, having an outsized impact, shaping the company through your efforts, scientific experience and industry expertise. We are incubated at Merantix, an AI Venture Studio which conceptualizes, builds and scales machine learning companies. Merantix is distinct in its attraction of world-class talents, trust from European´s leading organizations and dynamic culture across its ventures. Our team is made up of 60 engineers, scientists, and entrepreneurs from leading universities. Many of us hold a Ph.D. and gained experience at top-tier tech companies. We are looking for a Systems Metabolic Engineer to enhance our team and to help us build the next generation of machine learning applications for the bioeconomy. Tasks You will use modern machine learning frameworks to develop models for projects ranging from protein functional prediction to fermentation optimization. Additionally, you will build infrastructure that enables training and deploying deep learning models at scale. The tasks are diverse and non-repetitive, as we constantly receive new projects from industrial and academic partners. Successful projects will be highly automated via clean, maintainable code. You will work in a team with biologists, bioinformaticians and business analysts to create the newest tools to enable the bioeconomy. Your main responsibilities will include:
Develop and deploy novel machine learning algorithms on biological and chemical data;
Design terabyte-scale data pipelines;
Keep up-to-date with the latest advances in the field;
Drive long-term success by building or integrating new technologies;
Push multiple projects allowing us to deliver useful tools to our partners as well as internal proof of concepts;
Develop a scientific and technical vision of the venture together with a collaborative, interdisciplinary and entrepreneurial team.
Requirements We define ourselves by a culture of ownership and cooperation. We are looking for driven, capable, visionary and prudent talents with proven track records of personal, academic and professional achievement:
MSc or PhD in computer science, statistics, mathematics, physics, engineering, bioinformatics, machine learning, OR a biological/chemical background with significant, multi-year, demonstrable machine learning experience in industry;
Exceptional competence in applied machine learning and software engineering and its application in biology;
An understanding of basic molecular biology is essential to this role;
Experience with several of the following technologies: Google Cloud Platform, TensorFlow, Apache Beam, Google Cloud ML, Docker, or PyTorch;
Passion for exploration and execution of ‘proof of concept’ projects;
Intense drive to learn new skills and utilize new technologies;
Ability to work in a fast paced environment, dealing with uncertainty and building something from the ground up;
Outstanding communication and interpersonal skills.
Please note, only applicants with relevant experience in Biology will be considered for this role. Benefits Our hierarchy is flat and communication direct, which means that we operate and learn fast, as a team. You are a great fit for our team if this describes you:
Entrepreneurial mindset: creative, focused, and not easily discouraged;
Ability to work in a fast-paced, highly innovative environment where ambiguity is the norm;
Excellent analytical problem-solving skills, with the ability to step back and contextualize the problem and its root;
Independent but cooperative mindset;
Strong organizational and multitasking skills with the ability to prioritize appropriately and effectively;
Love what you do (and own it).
In addition to a competitive salary and equity package, you can expect the following:
Flexible working hours as we believe in ownership and trust;
Learning & Development Program for all our team members;
Regular team events and intensive exchange with all Merantix companies;
Free drinks, snacks and breakfast.
We are an equal-opportunity employer and value diversity. We consider all applications equally regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply, and we can help with immigration
06/04/2020
Full time
We are harnessing machine learning to revolutionize the bioeconomy. Bioinformatics and machine learning will enable numerous steps in synthetic biological processes and generate novel solutions for a sustainable future. Come join our venture to engineer the tools of the future economy. You will be one of the early employees, having an outsized impact, shaping the company through your efforts, scientific experience and industry expertise. We are incubated at Merantix, an AI Venture Studio which conceptualizes, builds and scales machine learning companies. Merantix is distinct in its attraction of world-class talents, trust from European´s leading organizations and dynamic culture across its ventures. Our team is made up of 60 engineers, scientists, and entrepreneurs from leading universities. Many of us hold a Ph.D. and gained experience at top-tier tech companies. We are looking for a Systems Metabolic Engineer to enhance our team and to help us build the next generation of machine learning applications for the bioeconomy. Tasks You will use modern machine learning frameworks to develop models for projects ranging from protein functional prediction to fermentation optimization. Additionally, you will build infrastructure that enables training and deploying deep learning models at scale. The tasks are diverse and non-repetitive, as we constantly receive new projects from industrial and academic partners. Successful projects will be highly automated via clean, maintainable code. You will work in a team with biologists, bioinformaticians and business analysts to create the newest tools to enable the bioeconomy. Your main responsibilities will include:
Develop and deploy novel machine learning algorithms on biological and chemical data;
Design terabyte-scale data pipelines;
Keep up-to-date with the latest advances in the field;
Drive long-term success by building or integrating new technologies;
Push multiple projects allowing us to deliver useful tools to our partners as well as internal proof of concepts;
Develop a scientific and technical vision of the venture together with a collaborative, interdisciplinary and entrepreneurial team.
Requirements We define ourselves by a culture of ownership and cooperation. We are looking for driven, capable, visionary and prudent talents with proven track records of personal, academic and professional achievement:
MSc or PhD in computer science, statistics, mathematics, physics, engineering, bioinformatics, machine learning, OR a biological/chemical background with significant, multi-year, demonstrable machine learning experience in industry;
Exceptional competence in applied machine learning and software engineering and its application in biology;
An understanding of basic molecular biology is essential to this role;
Experience with several of the following technologies: Google Cloud Platform, TensorFlow, Apache Beam, Google Cloud ML, Docker, or PyTorch;
Passion for exploration and execution of ‘proof of concept’ projects;
Intense drive to learn new skills and utilize new technologies;
Ability to work in a fast paced environment, dealing with uncertainty and building something from the ground up;
Outstanding communication and interpersonal skills.
Please note, only applicants with relevant experience in Biology will be considered for this role. Benefits Our hierarchy is flat and communication direct, which means that we operate and learn fast, as a team. You are a great fit for our team if this describes you:
Entrepreneurial mindset: creative, focused, and not easily discouraged;
Ability to work in a fast-paced, highly innovative environment where ambiguity is the norm;
Excellent analytical problem-solving skills, with the ability to step back and contextualize the problem and its root;
Independent but cooperative mindset;
Strong organizational and multitasking skills with the ability to prioritize appropriately and effectively;
Love what you do (and own it).
In addition to a competitive salary and equity package, you can expect the following:
Flexible working hours as we believe in ownership and trust;
Learning & Development Program for all our team members;
Regular team events and intensive exchange with all Merantix companies;
Free drinks, snacks and breakfast.
We are an equal-opportunity employer and value diversity. We consider all applications equally regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply, and we can help with immigration
Are you passionate about developing impactful applications of machine learning? Does the prospect of dealing with complex problems in an exciting domain interest you? Do you want to play an instrumental role in building deep learning products? We are looking for an ambitious Machine Learning Research Engineer to enhance our team and to help us build the next generation of machine learning applications for the healthcare industry. What we do At Merantix Healthcare, we aim to make high-quality diagnostic services accessible to patients all around the world by applying machine learning to medical images. Our product, Vara, enables radiologists to reach superior diagnostic performance at spotting cancer by automating the diagnosis of non-malignant exams. Our team is made up of 25 entrepreneurs, medical doctors, and engineers from top-tier companies (e.g. Google, Amazon, BCG) and universities (e.g. Oxford, Stanford, University of St. Gallen) around the world. We’re based in Europe’s startup capital, Berlin, and are growing quickly! Further information can be found on our website: www.varahealthcare.com. Tasks You will use modern machine learning frameworks to develop models for medical data and will build infrastructure that enables training and deploying deep learning models at scale. The tasks are diverse and non-repetitive, as we constantly strive to improve our models with new methods. Successful projects will be highly automated via clean, maintainable code. You will work in a team with our machine intelligence, data and software engineers, profiting from and enriching their expertise. Your main responsibilities will include:
Research and building state-of-the-art deep learning models
Design terabyte-scale data pipelines
Data analysis, experiment design and clean evaluation
Learning about the medical domain to understand how to build better models
Clear communication of results in the team
Requirements We define ourselves by a culture of friendship and ownership. We’re looking for capable, driven, and thoughtful people to add to our vision. Basic qualifications:
BA/BS in computer science or related technical field, or equivalent practical experience
Experience in applied machine learning and software engineering
The preferred qualifications are just that: preferred. None of us walked in with all of them. If a few of these points apply to you, we definitely want to talk! Preferred qualifications:
MSc or PhD in computer science, machine learning, or related technical field
Exceptional competence in two of the following and a demonstrated interest in the other: Applied machine learning, software engineering and medical imaging
Experience with one or more of the following technologies: Google Cloud Platform, TensorFlow, Apache Beam, Google Cloud ML, or Docker
Industry experience working with machine learning frameworks, large-scale data processing systems, or cloud infrastructure
Significant industry experience developing enterprise or data products
Background in deep learning, computer vision, NLP, or related fields
Benefits We believe in ownership, flat hierarchy and direct communication, which means that we operate and learn fast, as a team. In addition to a competitive salary, equity package and fringe benefits (like company hardware or company lunches), the following aspects are central to our company culture:
Dynamic working culture: Merantix Healthcare offers a dynamic and flexible work environment. Some of us come in during regular business hours, and some of us prefer to start later or earlier. We are a fully trust-based organization and believe in ownership, personal responsibility, and the motivation of our people.
Professional Development: be it seminars, workshops, conferences or other methods, we encourage our employees to continuously develop their personal skill set.
Collaborative Culture: we have regular off sites and team dinners. If you want to participate, that’s great! And if you don’t, that’s fine too.
Excellence: We are driven researchers, developers and entrepreneurs who believe in what they create and are committed to the success of it. In order to build disruptive products, we strive for outstanding quality and visionary ideas in a high-performance environment.
We are an equal opportunity employer and value diversity. We consider all applications equally regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply, and we can help with immigration.
06/04/2020
Full time
Are you passionate about developing impactful applications of machine learning? Does the prospect of dealing with complex problems in an exciting domain interest you? Do you want to play an instrumental role in building deep learning products? We are looking for an ambitious Machine Learning Research Engineer to enhance our team and to help us build the next generation of machine learning applications for the healthcare industry. What we do At Merantix Healthcare, we aim to make high-quality diagnostic services accessible to patients all around the world by applying machine learning to medical images. Our product, Vara, enables radiologists to reach superior diagnostic performance at spotting cancer by automating the diagnosis of non-malignant exams. Our team is made up of 25 entrepreneurs, medical doctors, and engineers from top-tier companies (e.g. Google, Amazon, BCG) and universities (e.g. Oxford, Stanford, University of St. Gallen) around the world. We’re based in Europe’s startup capital, Berlin, and are growing quickly! Further information can be found on our website: www.varahealthcare.com. Tasks You will use modern machine learning frameworks to develop models for medical data and will build infrastructure that enables training and deploying deep learning models at scale. The tasks are diverse and non-repetitive, as we constantly strive to improve our models with new methods. Successful projects will be highly automated via clean, maintainable code. You will work in a team with our machine intelligence, data and software engineers, profiting from and enriching their expertise. Your main responsibilities will include:
Research and building state-of-the-art deep learning models
Design terabyte-scale data pipelines
Data analysis, experiment design and clean evaluation
Learning about the medical domain to understand how to build better models
Clear communication of results in the team
Requirements We define ourselves by a culture of friendship and ownership. We’re looking for capable, driven, and thoughtful people to add to our vision. Basic qualifications:
BA/BS in computer science or related technical field, or equivalent practical experience
Experience in applied machine learning and software engineering
The preferred qualifications are just that: preferred. None of us walked in with all of them. If a few of these points apply to you, we definitely want to talk! Preferred qualifications:
MSc or PhD in computer science, machine learning, or related technical field
Exceptional competence in two of the following and a demonstrated interest in the other: Applied machine learning, software engineering and medical imaging
Experience with one or more of the following technologies: Google Cloud Platform, TensorFlow, Apache Beam, Google Cloud ML, or Docker
Industry experience working with machine learning frameworks, large-scale data processing systems, or cloud infrastructure
Significant industry experience developing enterprise or data products
Background in deep learning, computer vision, NLP, or related fields
Benefits We believe in ownership, flat hierarchy and direct communication, which means that we operate and learn fast, as a team. In addition to a competitive salary, equity package and fringe benefits (like company hardware or company lunches), the following aspects are central to our company culture:
Dynamic working culture: Merantix Healthcare offers a dynamic and flexible work environment. Some of us come in during regular business hours, and some of us prefer to start later or earlier. We are a fully trust-based organization and believe in ownership, personal responsibility, and the motivation of our people.
Professional Development: be it seminars, workshops, conferences or other methods, we encourage our employees to continuously develop their personal skill set.
Collaborative Culture: we have regular off sites and team dinners. If you want to participate, that’s great! And if you don’t, that’s fine too.
Excellence: We are driven researchers, developers and entrepreneurs who believe in what they create and are committed to the success of it. In order to build disruptive products, we strive for outstanding quality and visionary ideas in a high-performance environment.
We are an equal opportunity employer and value diversity. We consider all applications equally regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply, and we can help with immigration.
Your Challenge
Konzeption und prototypische Implementierung eines standardisiertem Testverfahrens für nachtrainierte Machine Learning Modelle oder
Identifikation von potenziellen Use Cases zum Thema „Natural Language Processing“ bzw. „Text Mining“ und prototypische Umsetzung (z.B. Automatische Analyse und Klassifizierung von News Artikeln, welche die Stimmung zu einer Person bzw. einem Unternehmen wiedergeben) oder
Untersuchung, ob Machine Learning dazu verwendet werden kann, um ein vollautomatisches Feature Engineering auf beliebigen Daten durchzuführen (z.B. Features zu identifizieren, die für die Erstellung eines Machine Learning Modells einen großen Einfluss haben)
Your Skills
Sie sind Student (w|m|d) der Informatik, der Wirtschaftsinformatik oder vergleichbarer Studiengänge
Idealerweise haben Sie erste praktische Erfahrungen mit Java sowie im Umgang mit Datenbanken
Die schnelle Einarbeitung in neue Aufgabenstellungen fällt Ihnen leicht
Eine selbstständige und strukturierte Arbeitsweise zeichnet Sie aus
Sie haben Freude an der Umsetzung anspruchsvoller Lösungen im Team und arbeiten gerne mit Menschen zusammen
04/04/2020
Full time
Your Challenge
Konzeption und prototypische Implementierung eines standardisiertem Testverfahrens für nachtrainierte Machine Learning Modelle oder
Identifikation von potenziellen Use Cases zum Thema „Natural Language Processing“ bzw. „Text Mining“ und prototypische Umsetzung (z.B. Automatische Analyse und Klassifizierung von News Artikeln, welche die Stimmung zu einer Person bzw. einem Unternehmen wiedergeben) oder
Untersuchung, ob Machine Learning dazu verwendet werden kann, um ein vollautomatisches Feature Engineering auf beliebigen Daten durchzuführen (z.B. Features zu identifizieren, die für die Erstellung eines Machine Learning Modells einen großen Einfluss haben)
Your Skills
Sie sind Student (w|m|d) der Informatik, der Wirtschaftsinformatik oder vergleichbarer Studiengänge
Idealerweise haben Sie erste praktische Erfahrungen mit Java sowie im Umgang mit Datenbanken
Die schnelle Einarbeitung in neue Aufgabenstellungen fällt Ihnen leicht
Eine selbstständige und strukturierte Arbeitsweise zeichnet Sie aus
Sie haben Freude an der Umsetzung anspruchsvoller Lösungen im Team und arbeiten gerne mit Menschen zusammen
Um die digitale Transformation im gesamten Konzern zu etablieren und erfolgreich alle Potentiale auszuschöpfen sind wir für unseren Kunden, einen Multinationalen Konzern, auf der Suche nach einem „Machine Learning Expert (m/w)“, der in der Lage ist analytische Lösungen zu entwickeln die sich mit den Geschäftszielen decken und hierbei eine Vielzahl an Data Science Tools und Methoden nutzt. Der Stelleninhaber wird Abteilungsübergreifend mit Data Scientists, Software Entwicklern und Big Data Engineers arbeiten um die ambitionierten Ziele zu erreichen. Falls für dich die Nutzung von Multivarianten Regressions,- Bayesian und Montecarlo Simulations Modellen gepaart mit Python, R, Stata, Java, sowie verteilten Systemen wie Hadoop und Spark bereits zum Alltag gehört und du dein Fachwissen nun auf der internationalen Bühne gewinnbringend einsetzen willst, dann freuen wir uns von dir zu hören. Dich erwartet ein attraktives Gehalt und das arbeiten in modernen Büros in zentraler Lage Münchens. Aufgaben Ausarbeitung innovativer Wege um Fragestellungen anhand von Data Mining und Machine Learning Methoden zu bewältigen Auswahl der geeignetsten Methoden, sowie Definition und Bewertung von Algorithmen zur Erreichung von Geschäftszielen Unterstützung in der Entwicklung der Data Science Roadmap Abteilungsübergreifendes Projektmanagement Kollaboration mit Teamkollegen zur Identifizierung von Problemen und Lösungswegen für automatisierte und standardisierte Reports Marktbeobachtung um Up-To-Date mit neuesten Machine Learning Entwicklungen zu sein, um die Insights im Unternehmen zu verankern Profil Studium oder Promotion in Mathematik, Statistik, IT, oder anderen numerischen Disziplinen Expertenkenntnisse im Machine Learning und Data Mining, sowie in einer weiteren Disziplin der statistischen Datenmodellierung Berufserfahrung als Data Scientist, Predictive Modeller oder Data Analyst Ein Fable für Zahlen, ihre Interpretation und das Entdecken von Zusammenhängen Die Gabe auf Deine Businesspartner einzugehen und eine „Daten getriebene Revolution“ voranzutreiben Gute Kenntnisse in R und/oder Python, sowie SQL sind eine Grundvoraussetzung „Know How“ in einem Big Data Framework Idealerweise hast Du bereits mit Tableau visualisiert Goodies Zusatzversicherungen Laptop Kantine Home Office Fragen Max Mustermann Data Science Consultant 030 89 40 25 66 info@flint-data.com
04/04/2020
Full time
Um die digitale Transformation im gesamten Konzern zu etablieren und erfolgreich alle Potentiale auszuschöpfen sind wir für unseren Kunden, einen Multinationalen Konzern, auf der Suche nach einem „Machine Learning Expert (m/w)“, der in der Lage ist analytische Lösungen zu entwickeln die sich mit den Geschäftszielen decken und hierbei eine Vielzahl an Data Science Tools und Methoden nutzt. Der Stelleninhaber wird Abteilungsübergreifend mit Data Scientists, Software Entwicklern und Big Data Engineers arbeiten um die ambitionierten Ziele zu erreichen. Falls für dich die Nutzung von Multivarianten Regressions,- Bayesian und Montecarlo Simulations Modellen gepaart mit Python, R, Stata, Java, sowie verteilten Systemen wie Hadoop und Spark bereits zum Alltag gehört und du dein Fachwissen nun auf der internationalen Bühne gewinnbringend einsetzen willst, dann freuen wir uns von dir zu hören. Dich erwartet ein attraktives Gehalt und das arbeiten in modernen Büros in zentraler Lage Münchens. Aufgaben Ausarbeitung innovativer Wege um Fragestellungen anhand von Data Mining und Machine Learning Methoden zu bewältigen Auswahl der geeignetsten Methoden, sowie Definition und Bewertung von Algorithmen zur Erreichung von Geschäftszielen Unterstützung in der Entwicklung der Data Science Roadmap Abteilungsübergreifendes Projektmanagement Kollaboration mit Teamkollegen zur Identifizierung von Problemen und Lösungswegen für automatisierte und standardisierte Reports Marktbeobachtung um Up-To-Date mit neuesten Machine Learning Entwicklungen zu sein, um die Insights im Unternehmen zu verankern Profil Studium oder Promotion in Mathematik, Statistik, IT, oder anderen numerischen Disziplinen Expertenkenntnisse im Machine Learning und Data Mining, sowie in einer weiteren Disziplin der statistischen Datenmodellierung Berufserfahrung als Data Scientist, Predictive Modeller oder Data Analyst Ein Fable für Zahlen, ihre Interpretation und das Entdecken von Zusammenhängen Die Gabe auf Deine Businesspartner einzugehen und eine „Daten getriebene Revolution“ voranzutreiben Gute Kenntnisse in R und/oder Python, sowie SQL sind eine Grundvoraussetzung „Know How“ in einem Big Data Framework Idealerweise hast Du bereits mit Tableau visualisiert Goodies Zusatzversicherungen Laptop Kantine Home Office Fragen Max Mustermann Data Science Consultant 030 89 40 25 66 info@flint-data.com
Abwechslungsreiche, interessante Aufgaben mit vielen Herausforderungen
Attraktive Entwicklungsmöglichkeiten
Teamarbeit und offener Informationsaustausch
Leistungsorientiertes Gehaltssystem
Ihre Aufgaben
Eigenverantwortliche Entwicklung und Betreuung von analytischen Anwendungen für die Gesetzliche Krankenversicherung
Mitarbeit in Innovationsprojekten wie z.B. Machine-Learning-basierter Prozessoptimierung mit nahtloser Integration in SAP Business-Warehouse
Konzeption und Realisierung in einer Micro-Service-orientierten Python/TensorFlow-Entwicklungsumgebung
Koordination der fachlichen und technischen Anforderungen sowie die Erstellung von Fach- und DV-Konzepten
Beratung unserer Kunden bei der Einführung von analytischen Produkten
Das sollten Sie mitbringen:
Abgeschlossenes Studium der Informatik, Mathematik oder Physik oder eine vergleichbare Qualifikation (gerne auch Berufseinsteiger)
Fundierte Programmierkenntnisse und ein gutes technisches Verständnis sowie eine strukturierte und analytische Arbeitsweise
Wünschenswert sind Kenntnisse über statistische oder Machine-Learning-Verfahren wie z.B. Klassifikation, Regressionsanalysen oder Natural Language Processing
Hohes Maß an Eigeninitiative, Service- und Kundenorientierung
Kommunikationsfähigkeit, Flexibilität und Teamfähigkeit
Generelle Bereitschaft zur Reisetätigkeit und zum Projekteinsatz bei unseren Kunden
04/04/2020
Full time
Abwechslungsreiche, interessante Aufgaben mit vielen Herausforderungen
Attraktive Entwicklungsmöglichkeiten
Teamarbeit und offener Informationsaustausch
Leistungsorientiertes Gehaltssystem
Ihre Aufgaben
Eigenverantwortliche Entwicklung und Betreuung von analytischen Anwendungen für die Gesetzliche Krankenversicherung
Mitarbeit in Innovationsprojekten wie z.B. Machine-Learning-basierter Prozessoptimierung mit nahtloser Integration in SAP Business-Warehouse
Konzeption und Realisierung in einer Micro-Service-orientierten Python/TensorFlow-Entwicklungsumgebung
Koordination der fachlichen und technischen Anforderungen sowie die Erstellung von Fach- und DV-Konzepten
Beratung unserer Kunden bei der Einführung von analytischen Produkten
Das sollten Sie mitbringen:
Abgeschlossenes Studium der Informatik, Mathematik oder Physik oder eine vergleichbare Qualifikation (gerne auch Berufseinsteiger)
Fundierte Programmierkenntnisse und ein gutes technisches Verständnis sowie eine strukturierte und analytische Arbeitsweise
Wünschenswert sind Kenntnisse über statistische oder Machine-Learning-Verfahren wie z.B. Klassifikation, Regressionsanalysen oder Natural Language Processing
Hohes Maß an Eigeninitiative, Service- und Kundenorientierung
Kommunikationsfähigkeit, Flexibilität und Teamfähigkeit
Generelle Bereitschaft zur Reisetätigkeit und zum Projekteinsatz bei unseren Kunden
