Netflix is seeking a Senior Data Scientist to work on various projects across ad optimization, including audience & identity, forecasting, core ad ranking, auction/marketplace design, pricing, and yield optimization. The role involves applying statistical modeling, machine learning, and optimization techniques to business problems at the intersection of product and data science, driving innovations through effective identification and application of analytics, causal inference, experimentation, and machine learning.
Requirements
- Advanced degree in Statistics, Machine Learning, Economics, Operations Research, Mathematics, Physics, or related quantitative field
- 5+ years of relevant experience with large-scale data
- Strong statistical knowledge and intuition – ideally utilized in experimentation or other product analytics settings
- Strong product knowledge and intuition – ideally utilized in consumer/user interface settings or internally serving technical audiences such as engineers.
- Demonstrated ability to communicate and drive product change across a variety of stakeholders
- Strong SQL skills
- Strong Quantitative Programming skills in Python or R
- Ability to work independently and drive your own projects
- Ability to communicate technical and statistical concepts clearly and concisely among audiences at many different levels.
Benefits
- Health Plans
- Mental Health support
- 401(k) Retirement Plan with employer match
- Stock Option Program
- Disability Programs
- Health Savings and Flexible Spending Accounts
- Family-forming benefits
- Life and Serious Injury Benefits
- Paid leave of absence programs
To apply for this job please visit explore.jobs.netflix.net.
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