The Data Scientist role at Netflix focuses on developing analyses, tools, and predictive algorithms for the ads business. This position is part of the Ads Data Science & Engineering team, which is responsible for creating a sophisticated global marketplace. The role emphasizes scalable experimentation, marketplace dynamics, and strategic thought leadership. The ideal candidate will lead innovative projects that enhance member joy and advertiser value.

• MS or PhD in a quantitative field or equivalent practical experience.
• Significant experience with auction dynamics, yield management, or supply-demand matching within a marketplace setting.
• Mastery of causal inference and experimental design, with experience solving for interference and network effects.
• Expert proficiency in Python or R, and advanced SQL.
• Ability to translate complex statistical results into actionable business narratives.

• Design and execute rigorous experimental frameworks for scalable solutions.
• Drive the advancement and implementation of biddable media models and dynamically priced auctions.
• Partner with Product and Engineering to solve measurement challenges and scale the ad platform.
• Act as a high-level consultant to Product, Strategy, and Engineering teams.
• Cultivate strong partnerships with cross-functional stakeholders.
• Deliver end-to-end solutions using advanced causal inference, machine learning, and data exploration.

• 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.