Data Science Engineering Manager

Netflix
Amsterdam
Workplace: RemoteFull timeFunction: Data Science & Machine LearningSkills: ["Communication","Collaboration","Judgment","Ownership","Mentorship"]

Lead a team of data science and analytics engineering roles to shape measurement and innovation strategy for asset creation and content understanding. Own end-to-end outcomes for measurement and insights, ensuring timely, decision-ready work that drives product direction. Partner cross-functionally to frame problems, surface tradeoffs, and build causal understanding of content distribution. Set team vision, priorities, and operating norms, and role-model Netflix values while mentoring technical leaders.

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FursaFursa
Netflix
Netflix
3 days ago

Data Science Engineering Manager

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Last checked: 5 hours agoStatus: Live

Job Summary

Lead a team of data science and analytics engineering roles to shape measurement and innovation strategy for asset creation and content understanding. Own end-to-end outcomes for measurement and insights, ensuring timely, decision-ready work that drives product direction. Partner cross-functionally to frame problems, surface tradeoffs, and build causal understanding of content distribution. Set team vision, priorities, and operating norms, and role-model Netflix values while mentoring technical leaders.
Location: Amsterdam
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Lead a team of technical roles across data science and analytics engineering to shape measurement and innovation strategy for asset creation and content understanding.
  • •Own end-to-end outcomes for measurement and insights in your domain, delivering timely, decision-ready work that shapes product direction and development.
  • •Partner 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 for strong thought partnership and high-quality execution.
  • •Serve as a role model for Netflix values through strong judgment, candor, and accountability in day-to-day interactions.

Key Requirements

  • •Demonstrated experience leading data science, analytics, or related technical teams in product-focused domains with accountability for direction and outcomes.
  • •Strong analytical judgment and structured thinking to turn messy, ambiguous problems into clear insights, recommendations, and decisions.
  • •Exceptional communication and collaboration skills to influence partners through clear framing, tradeoff articulation, and data storytelling.
  • •Proven ability to operate effectively in ambiguous, fast-moving environments with strong ownership and judgment with minimal oversight.
  • •Track record of developing and/or mentoring senior individual contributors into trusted thought partners and increasing team leverage.
Skills:CommunicationCollaborationJudgmentOwnershipMentorship

Company Brief

Netflix
Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.
Industry: Streaming Platforms
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Los Gatos, United States
Founded: 1997
Glassdoor
Glassdoor: 4.1
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