Senior Data Scientist 5 - Media Science

Netflix
Amsterdam
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Communication","Stakeholder management","Analytical thinking","Self-motivation","Learning mindset"]

Use causal inference and metric research to study how media innovation affects cost, time, and content quality for Netflix Studios. Partner with Product Management, Finance & Strategy, and Content Operations & Innovation to scope ambiguous, greenfield questions and deliver an end-to-end research agenda. Translate findings for both technical and non-technical leaders and collaborate with data scientists and analytics engineers across EMEA and globally to improve member and business outcomes.

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FursaFursa
Netflix
Netflix
3 days ago

Senior Data Scientist 5 - Media Science

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Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Use causal inference and metric research to study how media innovation affects cost, time, and content quality for Netflix Studios. Partner with Product Management, Finance & Strategy, and Content Operations & Innovation to scope ambiguous, greenfield questions and deliver an end-to-end research agenda. Translate findings for both technical and non-technical leaders and collaborate with data scientists and analytics engineers across EMEA and globally to improve member and business outcomes.
Location: Amsterdam
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Serve as the second Applied Inference Data Scientist in Media Science Data Science & Engineering to shape discipline impact for Studio Production.
  • •Act as a strategic thought partner to Content & Business product teams, Content Operations & Innovation leaders, and Finance & Strategy to scope ambiguous, greenfield questions.
  • •Identify metric research and causal inference opportunities to assess media innovation impact and improve production efficiency and effectiveness.
  • •Own research end-to-end for causal analysis: design, execution, interpretation, and dissemination.
  • •Present research findings clearly to technical and non-technical partners and build strong cross-functional partnerships to influence data-informed ways of working.

Key Requirements

  • •Advanced degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field.
  • •5+ years of relevant experience using causal inference methods, including quasi-experimental designs.
  • •Strong statistical knowledge for observational causal analysis and applied machine learning with demonstrated business impact.
  • •Expertise in SQL and Python.
  • •Proven track record wrangling data, performing EDA, designing metrics/tests, building causal inference solutions, and communicating results to stakeholders.
Experience:5+ yearsEMEA
Education:
Skills:CommunicationStakeholder managementAnalytical thinkingSelf-motivationLearning mindset
Tech Stack:SQLPythonTableau

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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