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Data Science Engineering Manager

Job in 1000, Amsterdam, North Holland, Netherlands
Listing for: Netflix
Full Time position
Listed on 2026-09-17
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 180000 - 240000 EUR Yearly EUR 180000.00 240000.00 YEAR
Job Description & How to Apply Below
Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

At Netflix, we seek to entertain the world by inventing entertainment experiences our people can’t live without and connecting them with stories for our over 300 million members in 190 countries.

The core function of the Netflix product is to distribute our entertainment offerings - TV series, film, games, live events, podcasts, etc.

- to our members. When a Netflix member opens our app, the product aims to help them choose a story to watch or a game to play that is right for them at that moment. To do this well, we need both a deep understanding of our content and the intelligence to present the right evidence (artwork, trailers, synopses, etc.) to enable their choice.

The Creative Production DSE sits at the intersection of evidence production and content understanding. We are a team of data scientists and analytics engineers who partner closely with world-class product, merchandising, AI, and engineering teams. We help inform the production of artwork, trailers, and text descriptions of our titles, as well as the quality and completeness of title metadata through rigorous analyses, in-product experimentation, mathematical modeling, and analytics.

We are looking for an exceptional leader to manage this team and work in highly cross-functional settings amidst a complex and global stakeholder landscape. A strong candidate for this role is able to inform decision making using data and exceptional judgment, possesses excellent communication and collaboration skills, and is a strong, seasoned people leader who can effectively guide a talented team.

This role is based in Amsterdam,  this role, you will:

Lead a team of technical roles across data science and analytics engineering to shape the measurement and innovation strategy for the asset creation and content understanding spaces, balancing the needs of multiple stakeholders to drive durable business impact

Own end-to-end outcomes for measurement and insights in your domain, ensuring the team delivers timely, decision-ready work that meaningfully shapes product direction and development

Partner closely with other functions to frame the right problems, surface tradeoffs, and build a shared, causal understanding of content distribution

Set a clear vision and direction for the team, establishing priorities and operating norms that enable strong thought partnership, high-quality execution, and sustained impact

Act as a role model for Netflix values in day-to-day work and interactions, demonstrating strong judgment, candor, and accountability To be successful in this role, you will have:

Demonstrated experience leading data science, analytics, or related technical teams in product-focused domains, with accountability for both setting direction and delivering outcomes

Strong analytical judgment and structured thinking, with the ability to move from messy data and ambiguous problems to clear insights, recommendations, and decisions

Exceptional communication and collaboration skills, including the ability to influence partners through clear framing, tradeoff articulation, and compelling data storytellingA track record of operating effectively in ambiguous, fast-moving environments, exercising strong ownership and judgment with minimal process or oversightA track record of developing and/or mentoring senior ICs into trusted thought partners, increasing both their individual impact and the team’s overall leverage

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