Data Scientist 5 - Member Value Research
Company: Netflix
Location: Location not specified (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-04-23
About this role
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 a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
The Member Applied Research Data Science and Engineering team drives foundational research to advance the measurement and understanding of member value. We guide optimal product decision-making while balancing trade-offs, and connect on-the-ground needs from individual teams to holistic priorities and methods shared across the Netflix ecosystem.
We are seeking a Senior Data Scientist with strong causal inference and experimentation experience to advance our understanding of member engagement with a growing variety of available content and new interaction types. In this role, you will drive foundational research, new metric development, and experimentation strategies that directly guide decision-making across the Netflix product. You’ll work in a highly collaborative and cross-domain environment with other data scientists, data and analytics engineers, and business teams to accelerate our measurement capabilities and influence our strategy.
In This Role, You Will
- Drive product innovation through robust measurement strategies across experimentation, modeling, and analytics to shape how our members experience a variety of content types.
- Establish strong partnerships with stakeholders to ladder local developments into a holistic measurement approach.
- Contribute new methodologies to our causal inference tooling.
- Develop experimentation and measurement frameworks to increase the velocity of investments and aid complex decision-making.
To Be Successful In This Role, You Have
- Advanced degree in Statistics, Mathematics, Computer Science, Economics or related quantitat...