Senior Data Scientist (mfd)

Axel Springer News Media National

Job Location:

Berlin - Germany

Monthly Salary: Not Disclosed

Posted on: 9 hours ago

Vacancies: 1 Vacancy

Job Summary

work with a group of data scientists in the development of recommendation and personalisation models using statistical machine learning and data mining methodologies
design build test deploy and operate data science and AI services end-to-end in an agile product-focused team
take full ownership of recommender system and AI initiatives from problem framing and data exploration to production deployment and continuous optimisation
develop and evolve scalable ML services and pipelines that are reliable observable and resilient in production environments
design run and analyse A/B tests to generate sustainable impact for readers and the business
collaborate closely with software engineers data engineers and architects to integrate ML solutions into scalable system architectures
continuously improve methodologies tooling and experimentation standards across the organisation

Qualifications :

several years of experience as a Data Scientist building and deploying recommender systems in production environments
solid understanding of modern machine learning methods and broad overview of data science best practice in your field
strong coding skills in Python and experience writing production-quality code working with large complex datasets and distributed systems (e.g. Spark/PySpark SQL); experience with Palantir Foundry is a plus
proven experience in taking end-to-end responsibility for data science and AI projects from requirements analysis to deployment and operations
experience working with LLMs modern AI systems
strong background in designing executing and analyzing A/B tests
skilled in agile working and cross-functional collaboration with product and engineering teams
excellent communication skills in English German skills are an advantage
solution-oriented and pragmatic mindset with a strong just do it mentality focusing on delivering impact and value learning fast and confidently adapting to new challenges

Additional Information :

your personal growth is important to us: we offer trainings and learning lunches tech conferences a budget for workshops and much more to expand your knowledge and your skills
flexible working hours support a healthy work-life balance
our free food offer: in addition to a breakfast snack we also offer a free lunch in our canteens
30 days vacation plus 10 days working from abroad
free choice of top-notch office equipment (also for your remote work space and private usage) up-to-date hardware software and modern office spaces that provide you with maximum flexibility
collaboration thrives on direct exchange - we rely on 80% office presence and 20% mobile working
from now a permanent full- or part-time position in a modern office in the heart of Berlin: most frequently asked questions and their answers can be found on our FAQ page: is an essential part of our corporate culture! We are looking forward to receiving all applications regardless of gender nationality ethnic and social origin religion ideology disability age sexual orientation and identity.

You can find information about the representation for the severely disabled at Axel Springer here: Work :
No

Employment Type :
Full-time

work with a group of data scientists in the development of recommendation and personalisation models using statistical machine learning and data mining methodologiesdesign build test deploy and operate data science and AI services end-to-end in an agile product-focused teamtake full ownership of rec...

work with a group of data scientists in the development of recommendation and personalisation models using statistical machine learning and data mining methodologies
design build test deploy and operate data science and AI services end-to-end in an agile product-focused team
take full ownership of recommender system and AI initiatives from problem framing and data exploration to production deployment and continuous optimisation
develop and evolve scalable ML services and pipelines that are reliable observable and resilient in production environments
design run and analyse A/B tests to generate sustainable impact for readers and the business
collaborate closely with software engineers data engineers and architects to integrate ML solutions into scalable system architectures
continuously improve methodologies tooling and experimentation standards across the organisation

Qualifications :

several years of experience as a Data Scientist building and deploying recommender systems in production environments
solid understanding of modern machine learning methods and broad overview of data science best practice in your field
strong coding skills in Python and experience writing production-quality code working with large complex datasets and distributed systems (e.g. Spark/PySpark SQL); experience with Palantir Foundry is a plus
proven experience in taking end-to-end responsibility for data science and AI projects from requirements analysis to deployment and operations
experience working with LLMs modern AI systems
strong background in designing executing and analyzing A/B tests
skilled in agile working and cross-functional collaboration with product and engineering teams
excellent communication skills in English German skills are an advantage
solution-oriented and pragmatic mindset with a strong just do it mentality focusing on delivering impact and value learning fast and confidently adapting to new challenges

Additional Information :

your personal growth is important to us: we offer trainings and learning lunches tech conferences a budget for workshops and much more to expand your knowledge and your skills
flexible working hours support a healthy work-life balance
our free food offer: in addition to a breakfast snack we also offer a free lunch in our canteens
30 days vacation plus 10 days working from abroad
free choice of top-notch office equipment (also for your remote work space and private usage) up-to-date hardware software and modern office spaces that provide you with maximum flexibility
collaboration thrives on direct exchange - we rely on 80% office presence and 20% mobile working
from now a permanent full- or part-time position in a modern office in the heart of Berlin: most frequently asked questions and their answers can be found on our FAQ page: is an essential part of our corporate culture! We are looking forward to receiving all applications regardless of gender nationality ethnic and social origin religion ideology disability age sexual orientation and identity.

You can find information about the representation for the severely disabled at Axel Springer here: Work :
No

Employment Type :
Full-time

Key Skills

Laboratory Experience
Mammalian Cell Culture
Biochemistry
Assays
Protein Purification
Research Experience
Next Generation Sequencing
Research & Development
cGMP
Cell Culture
Molecular Biology
Flow Cytometry

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About Company

Axel Springer News Media National

Wir im Team Content Partnerships sind begeistert davon, neue Wege zu gehen und Veränderungen als Chancen zu begreifen. Unsere Tätigkeitsbereiche sind vielfältig, die Schwerpunkte liegen in der Betreuung und dem Ausbau verschiedener Kooperationen und der Weiterentwicklung der Commerce- ... View more

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