Data Scientist L6 - Games Portfolio

Netflix•Winters, TX

22d•$441,900 - $697,500

About The Position

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 Game 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.

Requirements

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 Haves

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.

Responsibilities

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.