Data Scientist L6 – Games Portfolio
Netflix
full-time
Posted on:
Location Type: Remote
Location: United States
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Tech Stack
About the role
- 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.
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 Have: Experience leading the technical definition of core business metrics in the gaming, streaming, or subscription business models.
- Nice to Have: Experience with building production-grade, large-scale ML systems, including MLOps best practices.
- Nice to Have: Experience with solving business challenges with deep neural networks.
- Nice to Have: Experience with GenAI applications to boost developer productivity.
Benefits
- Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates.
- We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythonstatistical modelingcausal inferencetime series analysisapplied machine learningdata pipelinesMLOpsdeep neural networksGenAI applicationstechnical strategy
Soft Skills
mentoringstrategic thought partnersimplifying complex architecturecultivating partnershipscommunicationleadershipdata-driven decision makingcross-functional collaborationproblem-solvingexecutive communication
Certifications
Ph.D. in StatisticsPh.D. in MathematicsPh.D. in EconomicsPh.D. in Computer Science