[Hiring] Data Scientist @Netflix

Role Description

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 looking for a Staff Data Scientist to help set the strategic direction for our internal Experimentation Platform (XP), elevate the rigor of causal inference across the company, and lead the consolidation of a decade of organically-grown, bespoke experimentation practices into a unified, modern platform.

• XP Strategy & Influence: Help set the strategy for the Experimentation Platform, including UI design and user flows. Define how data scientists contribute metrics, reports, and templates to the platform.
• Trust & Methodology: Verify that XP allocates, logs, and processes data using valid, trustworthy causal inference methods, and demonstrate that trustworthiness to partner teams.
• Cross-Functional Collaboration: Act as a strategic thought partner for data science and engineering stakeholders across Netflix.
• Platform Leadership: Influence and evolve how Netflix performs experimentation at scale, setting standards for inference practices and driving adoption across data science teams.
• Lead the consolidation of fragmented, bespoke experimentation systems into a coherent, maintainable platform.
• Mentor and raise the bar for other team members working on or with the platform.

Qualifications

• Advanced degree (PhD or Masters) in Computer Science, Statistics, Economics, Applied Mathematics, or a related quantitative field.
• 8+ years of experience with statistics / causal inference in an experimentation context.
• Demonstrated track record of setting standards or building tools adopted across multiple teams or an entire organization.
• Deep, practical knowledge of experimentation pitfalls and how to guard against them at a program level.
• Experience translating ambiguous data science pain points into a sequenced product roadmap.
• 5+ years experience with data science languages, ideally including Python and SQL.
• Excellent cross-functional communication skills.
• Curiosity to learn new statistics, methods, and optimization techniques.

Requirements

• Comfort partnering closely with engineers on API/schema/system design.
• Ability to influence skeptical stakeholders - both highly technical and non-technical business partners.

Benefits

• 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.
• Life and Serious Injury Benefits.
• Paid leave of absence programs.
• Full-time hourly employees accrue 35 days annually for paid time off.
• Full-time salaried employees are immediately entitled to flexible time off.