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Data Scientist L6 – Games Portfolio

Data ScientistData ScientistFull TimeRemoteTeam 10,001+Since 1997H1B SponsorCompany Site LinkedIn

Location

United States

Posted

54 days ago

Salary

Not specified

Postgraduate Degree8 yrs expEnglishDistributed SystemsPython

Job Description

• 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.

Job 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.