The core function of the Netflix product is to distribute our entertainment offerings (TV series, film, games, live events, podcasts, etc.) to our members. We do this via two main mechanisms: personalization algorithms and curated merchandising. The Personalization & Merchandising Science team is at the forefront of driving innovations in this problem space of content distribution. Leverage techniques across experimentation, observational causal inference, analytics, statistical modeling, and econometrics, the team collaborates in deeply cross-functional settings to identify, incubate and enable experiences that entertain and delight our members by surfacing the right content at the right time. 

We are looking for an exceptional leader to manage a team of data scientists and analytics engineers to guide our approach to innovation in content distribution. This role works highly cross-functionally amidst a complex stakeholder landscape across Engineering, Merchandising, Product Management, Consumer Insights, and Design. 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. 

In 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 personalization and merchandising 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 highly successful in this role, you will have:

• Demonstrated experience leading data science, analytics, or related technical teams in algorithmically-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 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, algorithmically-driven products

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer 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. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.