Data Scientist L6 - Games Portfolio

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. Data Science and Engineering ('DSE') at Netflix is aimed at using data, analytics, causal inference, machine learning (ML), and sciences to improve various aspects of our business. We are seeking an experienced L6 Data Scientist for the Games Portfolio Team to define and lead the technical strategy and execution for the Game Portfolio Team. This role is responsible for the technical leadership across the team's core scope: developing the metrics ecosystem, driving incremental value research, establishing forecasting models, synthesizing audience insights, and defining transmedia impact frameworks. You will be the senior technical anchor, ensuring our data, models, and systems are robust, scalable, and provide the objective, timely insights that enable Games leadership to make informed decisions on investment, content scheduling, and overall portfolio strategy. In this role, you will:

• Lead the overall technical vision for forecasting, metrics ecosystems, audience insights, and transmedia research.
• Own the development and operation of robust and interpretable models for pre-launch and post-launch forecasting.
• Empower the team to own metrics ecosystem, audience insights, and transmedia research, enabling the Netflix Games' objectives as the business grows and evolves.
• Serve as the most senior technical resource, mentoring the team and fostering data science excellence.
• Act as a technical bridge and strategic thought partner to Games leadership, Finance & Strategy, Engineering, and sister DSE teams, ensuring production-grade data products.
• Proactively synthesize deep technical insights into clear, actionable findings for executive and senior leadership.
• Autonomously identify and pursue the high-impact research, making compelling, data-driven cases for resource allocation and prioritization across the portfolio space.

Who Will Succeed in

This Role:

• Ph.D. in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• 8+ years of relevant experience in a Data Science or ML role, with significant experience defining technical strategy and leading large, complex data science projects end-to-end.
• Proven experience serving as a Tech Lead, guiding other technical contributors and owning the technical quality, architecture, and roadmap for a product or data science area.
• Deep expertise in programming skills in Python, with proven experience building and deploying models and data pipelines at large scale using distributed systems.
• Expert-level knowledge of statistical modeling, causal inference, time series analysis, and applied machine learning techniques, with a portfolio of deployed models.
• Proven ability to simplify complex technical architecture and research findings into strategic insights for technical partners, cross-functional stakeholders, and executive leadership.
• Proven ability to translate ambiguous, high-level business goals into a coherent, scalable technical and analytical system.
• Proven ability to cultivate strong, dependable partnerships with cross-functional teams. Nice to Have
• Experience leading the technical definition of core business metrics in the gaming, streaming, or subscription business models.
• Experience with building production-grade, large-scale ML systems, including MLOps best practices.
• Experience with solving business challenges with deep neural networks.
• Experience with GenAI applications to boost developer productivity.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $441,900.00 - $697,500.00. This compensation range will vary based on location. 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. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.