Netflix
B2C • eCommerce • Media
Netflix is a global streaming service that offers a wide variety of award-winning television shows, movies, anime, documentaries, and more on thousands of internet-connected devices. It allows users to watch instantly and provides original content produced by Netflix itself, catering to diverse tastes. As a pioneer in original programming since its first series in 2013, Netflix aims to entertain audiences worldwide through immersive storytelling and innovative technology.
Data Scientist - Customer Service - Metrics
Job not on LinkedIn
May 20
🇺🇸 United States – Remote
💵 $170k - $720k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
Netflix
B2C • eCommerce • Media
Netflix is a global streaming service that offers a wide variety of award-winning television shows, movies, anime, documentaries, and more on thousands of internet-connected devices. It allows users to watch instantly and provides original content produced by Netflix itself, catering to diverse tastes. As a pioneer in original programming since its first series in 2013, Netflix aims to entertain audiences worldwide through immersive storytelling and innovative technology.
📋 Description
• Lead the evolution of CS metrics, identifying “north star” metrics and the ways CS teams can drive them • Think critically about the business problem at hand and deploy the appropriate measurement technique • Partner with executives, Product Managers, Data Engineers, Analytics Engineers and Finance to further a statistically rigorous, data-driven decision-making culture in CS • Identify opportunity areas for experimentation and research • Expand the use of CS metrics across Netflix, where they hold insights for Product, Engineering, and Data Science
🎯 Requirements
• Advanced degree in Statistics, Mathematics, Physics, Economics or a related quantitative field • Strong statistical knowledge and intuition, and applied experience developing business-centric metrics frameworks • Strong SQL skills and programming experience (Python preferred) • Ability to effectively communicate technical concepts and convey clear recommendations to a variety of audiences (Engineering, Product, senior leadership) • Experience with a wide range of measurement and prediction techniques (correlation analysis, observational causal inference, forecasting, quasi experimentation) • Comfort working with complex data; ability to thrive with minimal oversight and process • Prior experience with Customer Service is not required, but a desire to learn and become an expert is a must.
🏖️ 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 • Employees accrue 35 days annually for paid time off • Flexible time off for salaried employees
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