Role overview
- 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
What we're looking for
- 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
- 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: http://www.axelspringer-neubau.de/
The most frequently asked questions and their answers can be found on our FAQ page: career.axelspringer.com/en/faq
Diversity 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: https://career.axelspringer.com/en/rsde
Tags & focus areas
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