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Netflix Data Scientist L5 - Ads United States, California 473968753
Yesterday
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Responsibilities
- Apply modeling and machine learning techniques to business problems at the intersection of product and data science
- Autonomously identify and pursue research with significant business impact, and make compelling cases for prioritization and resource allocation
- Proactively perform data exploration on engagement behaviors to discover future opportunities
- Collaborate with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc., to develop and deploy models at scale
- Deliver well-documented datasets, tools, and reports to key technical and business partners
- Identify, compute and validate the appropriate metrics to measure success in a product area
- Cultivate strong partnerships with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc.
- Present your research and insights to all levels of the company
The Ideal Candidate:
- Demonstrated tenacity, resilience, and leadership experience that enables you to organize and drive cross-functional projects, overcome challenges, and propose solutions.
- Be both quantitative and qualitative. You should be able to quickly assess and understand complex systems, but also have high EQ, so that you can be a product ambassador to the rest of the organization, and our Hollywood and global partners.
- You are a player-coach. You can develop roadmaps and strategies, but also execute on technical work and ensure that your team produces consistent high quality outputs.
- Superb communication skills - You must be able to cultivate strong working relationships, communicate effectively, write meticulously, and give outstanding presentations to both technical and creative audiences.
- Experience building and leading hybrid Data Science and MLE teams in the Ads space.
- Capacity and passion to translate business objectives into actionable analyses, and analytic results into business and product recommendations
- A passion for TV and movies and defining the future of entertainment
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 $360,000 - $920,000.
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