Netflix is seeking a Senior Data Scientist to lead analytics, data science, and strategy for core personalization algorithms. This role involves collaborating with product management and engineering teams to enhance personalization capabilities using advanced machine learning and AI. The ideal candidate will leverage statistical methods to derive insights that influence member experiences and drive decision-making. The position requires strong communication skills and the ability to work independently in a dynamic environment.

• An advanced degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• 5+ years of relevant experience in one or more data science roles.
• Expertise in statistical analysis methods, particularly experimentation and causal inference.
• Strong data manipulation and quantitative programming skills in SQL or Python.
• Exceptional communication skills with both technical and non-technical audiences.

• Leverage experimentation and causal inference methods to drive actionable insights.
• Build metrics and measurement frameworks that are statistically robust.
• Establish strong partnerships with team members and diverse stakeholders.
• Ensure the team produces trustworthy and high-quality outputs.
• Proactively explore trends in content discovery to identify future opportunities.
• Work independently and drive personal projects.

• Employees at Netflix are often offered flexible, people-first benefits—unlimited time away, generous parental leave, global family-forming support, mental-health programs (mindfulness, free counseling/coaching), and health coverage tailored by country. Financially, Netflix pays at personal top-of-market and lets employees choose their mix of cash vs. fully-vested 10-year stock options, alongside donation and volunteer matching. Convenience perks can include trust-based travel/expense policies, relocation support, and “Work, Not Drive” rideshare flexibility.