Job Description
Netflix is seeking founding data scientists for its Commerce Data Science team to build a unified identity platform. The role involves collaborating with various teams to inform commerce strategy through data analysis, experimentation, and modeling, ultimately enhancing user experience.
Requirements
- An advanced degree (Masters or PhD) in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field
- Strong statistical skills such as regression and A/B testing experimentation
- Strong data manipulation and quantitative programming skills in SQL and Python or R
- Experience designing experiments and familiarity with observational causal inference methodologies
- Exceptional communication with technical and non-technical audiences
- Willingness to learn and rapidly absorb business context
- Comfort with ambiguity; ability to thrive with minimal oversight and process
Responsibilities
- Effectively identify and leverage experimentation and other analysis techniques, as appropriate, to solve business problems
- Be a strategic thought partner with commerce, product, engineering, analysts, data engineering etc
- Influence decision-making through data-driven insights and recommendations
- Proactively identify and perform data exploration to inform future product directions
- Prioritize competing demands toward the most impactful items
- Develop and validate the appropriate metrics to measure success in a given product area
- Contribute to the excellence of experimentation methodology within the Netflix data science community
- Live Netflix values while bringing a new perspective to continue improving our culture
Benefits
- 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.
