Senior Data Scientist (m/f/d) at Axel Springer News Media National

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

21 May, 26

Salary

0.0

Posted On

20 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Scientist, Recommender Systems, Personalisation Models, Statistical Methods, Machine Learning, Data Mining, AI Services, A/B Testing, Python, Spark/PySpark, SQL, LLMs, Agile, Cross-functional Collaboration, Communication

Industry

technology;Information and Media

Description

Company Description Axel Springer is Europe’s leading digital publisher and a global media and technology company headquartered in Berlin. With renowned brands such as BILD, POLITICO Germany, WELT und BUSINESS INSIDER Germany, we reach millions of users worldwide. We combine the reach of an established industry leader with the agility of a startup, constantly driving innovation to transform journalism for the digital age. Our corporate strategy places AI at the center: “Digital is the new print. AI is the new digital.” This vision reflects our belief that the fusion of artificial intelligence and human creativity will shape the future of media. Our National Media & Tech division is the central tech hub that ensures our journalism is supported by state-of-the-art technology, positioning our brands to thrive in the digital age. We believe in the future of journalism as a business model and invest in forward-looking technologies. Our five essentials are the values that unite us and guide us in our commitment to freedom. Together, we take ownership of our recommendation systems, continuously drive their evolution, and improve them to deliver real impact. You explore new AI-driven solutions, methods, and technologies to bring artificial intelligence even deeper into the core of our company and our journalism. Job Description 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: 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 Contract type: Expert Employment level: Part-time / Full-time

Responsibilities

The role involves working with a team of data scientists to develop recommendation and personalization models using statistical, machine learning, and data mining methodologies. Responsibilities include designing, building, testing, deploying, and operating end-to-end data science and AI services within an agile, product-focused team.