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.
Revolutionizing the way people watch TV shows and movies!
January 6
🇺🇸 United States – Remote
💵 $360k - $920k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
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.
Revolutionizing the way people watch TV shows and movies!
• Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries • This role focuses on our consumer acquisition strategy and how consumers experience Netflix before they enter the app • This includes our signup flow where we sell Netflix to consumers, how consumers log-in to Netflix, and how we partner and bundle with other companies • Our Data Science team helps scale data driven decision making in these areas • We deep dive to identify opportunity areas and inform Netflix’s strategy, run AB tests or utilize other causal inference techniques to understand the impact of new experiences and build machine learning to scale rapid innovation in these areas • We’re looking for an accomplished data science and analytics leader to lead a diverse team of talented, individual contributors who are experts in the fields of analytics, experimentation, and machine learning
• Demonstrated success in designing and delivering data science and analytics projects within highly ambiguous and complex business environments • Master’s or PhD degree in Statistics, Machine Learning, Computer Science, Economics, Engineering or other relevant fields • Experience hiring and leading high-caliber, data-focused teams with varying technical strengths across analytics, experimentation, and machine learning • Tenacious and flexible and can effectively organize and lead cross-functional projects, overcome challenges, and propose new solutions • Strength in independently finding opportunities and executing on science and analytics challenges for maximum business impact • Exceptional verbal and written communication skills with a wide variety of technical and business stakeholders
• 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 • 35 days annually for paid time off for full-time hourly employees
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