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What you will do in this role:
Oversee and evolve a suite of content forecasting models to help us understand how our, and our competitors' content is likely to perform over time.
Understand the interactions between content and various signals of social buzz on the value of Netflix’s catalog.
Work closely with partner teams to develop usable decision frameworks that leverage these insights to make our content slate better over time
Hire, inspire, and grow high-performing team members
Lead innovation at Netflix by leveraging the right state-of-the-art methods in machine learning and statistical inference to solve business problems
This role is for you if:
You have a proven track record of applying machine learning with industrial scale data
You excel at thinking through a business problem and solving it by leveraging data, you can then translate those solutions into compelling narratives to help drive adoption.
You are flexible and able to adapt to a rapidly changing environment – you build teams who can do the same. You embrace risk and are willing to make hard calls and pivot as needed.
You have deep technical expertise in a variety of modelling approaches including time series, observational causal inference, reinforcement learning and forecasting approaches. This expertise is coupled with the ability to examine tradeoffs amongst potential solutions in order to optimize outcomes for the business. You know how to use a complicated model, but you also know when a linear regression is best.
You enjoy connecting the dots across a variety of groups and problems, and you enjoy fostering collaborative relationships as much as you enjoy driving deep technical solutions.
You have a PhD/MS degree in a quantitative field like Operations Research, Economics, or Computer Science and have 10 years of industry experience with at least 3 years of managerial experience.
Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $480,000 - $1,200,000.
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