Netflix

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Manager, Data Science – Core TV & Interactive Discovery

Data ScientistData ScientistFull TimeRemoteTeam 10,001+Since 1997H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

47 days ago

Salary

$480K - $750K / year

Postgraduate DegreeEnglish

Job Description

• Lead a team of technical roles across data science and analytics engineering to shape the measurement and product strategy for the Core TV and Interactive Discovery 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 Product, Engineering, Design, and Consumer Insights to frame the right problems, surface tradeoffs, and build a shared, causal understanding of member behavior • 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

Job Requirements

  • Demonstrated experience leading data science, analytics, or related technical teams in product-focused domains
  • 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 product and engineering partners through clear framing, tradeoff articulation, and compelling data storytelling
  • A track record of operating effectively in ambiguous, fast-moving environments, exercising strong ownership and judgment with minimal process or oversight
  • A track record of building high-performing teams by developing senior ICs into trusted thought partners, increasing both their individual impact and the team’s overall leverage
  • A Master’s or PhD in a quantitative field, with deep expertise in applied data science and experimentation within consumer-facing products

Benefits

  • Health Plans
  • Mental Health support
  • 401(k) Retirement Plan with employer match
  • Stock Option Program
  • Disability Programs
  • Health Savings and Flexible Spending Accounts
  • Family-forming benefits
  • Life and Serious Injury Benefits
  • Paid leave of absence programs
  • Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off
  • Full-time salaried employees are immediately entitled to flexible time off

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