Data Scientist (L5) - Content Promotion & Discovery Performance

1w1 week ago

Netflix

US · Full-time · $372,000 – $600,000

About this role

At Netflix, our mission is to entertain the world by pushing the boundaries of storytelling, global fandom, and cutting-edge technology. The Merch & Algo Performance team maximizes member joy and engagement by optimizing content distribution and promotion on our product. We seek a Senior Data Scientist with strong statistics and causal inference experience to understand content promotion and personalization algorithms.

As a Senior Data Scientist, partner with business leaders for content and product promotion, Product, Engineering, and AI for Member System teams. Shape strategy and deliver impact through analytics, experiments, causal inference, and ML/AI methods. Distribution and promotion drive how members discover enjoyable content.

Establish strong partnerships with diverse stakeholders across the business. Facilitate ownership and accountability for trustworthy, high-quality outputs influencing Netflix decisions. Work independently to drive projects with minimal oversight.

Proactively explore trends in content discovery to surface future opportunities. Build statistically robust metrics and measurement frameworks for decision-making. Empower product features that deliver member joy through causal inference and experimentation.

Requirements

Advanced degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
5+ years of relevant experience in one or more data science roles.
Exceptional communication with technical and non-technical audiences; highly effective at developing meaningful stakeholder relationships and deep domain expertise.
Expertise in statistical analysis methods, most notably causal inference, statistical learning and experimentation methods.
Strong quantitative programming skills in a language such as Python and data manipulation in SQL.
Comfort with ambiguity; ability to thrive with minimal oversight and process.

Responsibilities

Leverage causal inference methods or statistically sound analyses to drive actionable insights on how product, content, and algorithms influence content discovery.
Build metrics and measurement frameworks that are statistically and causally robust to empower stakeholder decision-making and product features.
Establish strong partnerships with team members and diverse stakeholders across the business.
Facilitate ownership and accountability by ensuring trustworthy and high-quality outputs that influence Netflix decisions.
Proactively explore trends in content discovery to surface future opportunities.
Work independently and drive your own projects.

Benefits

Compensation structure consists solely of annual salary; choose salary versus stock options each year.
Comprehensive 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.