Netflix Data Scientist L5 - Product Promotion & Algorithm Performance 

United States, California 

355766378

In this role, you will:

• Leverage causal inference methods or statistically sound analyses to drive actionable insights and help shape our understanding of how product, content and algorithms influence member experience.

• Build metrics and measurement frameworks that are statistically and causally robust to empower decision-making for stakeholders and product features that can deliver member joy.

• Establish strong partnerships with team members and diverse stakeholders across the business.

• Facilitate ownership and accountability by ensuring that the team is producing trustworthy and high-quality outputs that influence the decisions and direction of a variety of areas of Netflix.

• Proactively explore trends in member engagement to surface future opportunities.

• Work independently and drive your own projects.

To be successful in this role, you have:

• An advanced degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.

• 5+ years of relevant experience in one or more data science roles.

• Expertise in statistical analysis methods, most notably regression analysis, causal inference, statistical learning and experimentation methods.

• Strong data manipulation and quantitative programming skills in SQL, R and/or Python.

• Exceptional communication with technical and non-technical audiences; highly effective at developing meaningful stakeholder relationships and deep domain expertise.

• Comfort with ambiguity; ability to thrive with minimal oversight and process.

• Embodies thewhile bringing a new perspective to continue improving our culture.

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 $170,000 - $720,000.