Senior Data Scientist

Was du bei uns bewegst:

• 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

Was du mitbringst:

• 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

• 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

The Axel Springer SE is a family-owned, transatlantic media company with locations in Berlin and New York. Our goal is to shape the future of journalism in the free world because we believe a free and informed society is essential to a functioning democracy.

We are evolving journalism into what we call Next Level Publishing – a business that is constantly shaped through innovation and acceleration. To disrupt the traditional publishing business, we are using smart technology and building excellent products which will boost our digital media brands. 

Join us as we elevate our media offerings and raise the bar!