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 quantitative field.
5+ years of relevant experience focused on building and delivering real-world machine learning models with demonstrated impact.
Strong statistical knowledge and intuition - ideally utilized in experimentation or other product analytics settings.
Strong Quantitative Programming skills in a language such as Python.
Exceptional oral and written communication skills.
Passion for driving product vision and innovation strategy by leveraging a broad set of techniques and building strong partnership with stakeholders.
Strong product sense to balance between addressing stakeholder or test-specific needs and investing in scalable solutions to serve general use cases.Â
Ability to work independently and drive your own projects.
Embody Netflix values while bringing a new perspective to continue to improve our culture.
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