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
π California β Remote
π΅ $360k - $920k / year
β° Full Time
π‘ Mid-level
π Senior
π Data Scientist
π¦ 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!
β’ Oversee end-to-end causal inference, experimentation, analytics, and overall measurement of promotional strategies. β’ Partner with cross-functional teams to leverage insights from measurement frameworks. β’ Lead, mentor and inspire a team of data scientists and analytics engineers. β’ Learn and innovate with creatives, blending science and creativity. β’ Cultivate strong relationships with cross-functional partners to provide strategic insights.
β’ Demonstrated success in designing and delivering data science and analytics projects β’ High proficiency in Causal Inference and standard tech stack (Python, SQL) β’ Masterβs or PhD degree in Statistics, Machine Learning, Computer Science, Economics, Engineering or other relevant fields β’ 6+ years of hands-on data science and analytics experiences (3+ years with a Ph.D.) β’ 2+ years of experiences mentoring and leading data scientists β’ Strong judgment and effective entrepreneurship in identifying and framing opportunities β’ Tenacious and flexible β’ Exceptional verbal and written communication skills
β’ Health Plans β’ Mental Health support β’ 401(k) Retirement Plan with employer match β’ Stock Option Program β’ Disability Programs β’ Health Savings and Flexible Spending Accounts β’ Family-forming benefits β’ Life and Serious Injury Benefits β’ Paid leave of absence programs β’ 35 days annually for paid time off for hourly employees β’ Flexible time off for salaried employees
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β° Full Time
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π Data Scientist
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