Manager - Measurement Science & Analytics

Netflix•Remote, OR

1d•$480,000 - $750,000

About The Position

Netflix’s Content & Games Data Science and Engineering organization supports the company’s content and games businesses through statistical research, modeling, and data products used for decision-making. Measurement Science & Analytics (MSA) develops and maintains the metrics used to understand content performance and provides analysis to help leaders interpret those metrics. The team also addresses new measurement questions as the business grows, determining how to answer them with appropriate rigor. Netflix is seeking a manager to lead a team of senior data practitioners with varied technical skill sets. The manager will provide methodological guidance, support team members’ development, and help them do their best work. The role partners with leaders in Content, Finance, and Product, as well as data engineering and product teams, to evolve measurement, maintain reliable metrics, and establish measurement practices across the organization. The compensation range is $480,000–$750,000, varying by location. Netflix’s compensation consists of annual salary and stock options, with no bonuses. Benefits include health plans, mental health support, a 401(k) retirement plan with employer match, stock options, disability programs, health savings and flexible spending accounts, family-forming benefits, life and serious injury benefits, and paid leave. Full-time salaried employees are immediately entitled to flexible time off.

Requirements

At least 3 years of experience managing technical teams, ideally teams with a mix of technical skill sets, with a track record of hiring well and helping people grow.
Strong coaching skills, including providing candid feedback with care, helping people identify growth opportunities, and developing senior individual contributors into leaders.
An advanced degree in statistics, economics, or another quantitative field, or equivalent experience.
A hands-on data science background with depth in areas such as statistical modeling, causal inference, or experimentation.
Experience designing and validating metrics, including proxy metrics, assessing metrics against the outcomes they represent, and understanding variance.
Experience running metrics in production across organizations, including definitions, governance, and change management.
Experience explaining analysis and its limitations to senior, non-technical audiences.
Comfort working on problems that have not yet been defined.
Enthusiasm for and compatibility with Netflix culture.

Nice To Haves

Experience in entertainment.

Responsibilities

Hire and coach a team of senior individual contributors, providing context and room for them to lead their own work.
Maintain a high bar for the quality of the team’s science and analysis and provide direct, useful feedback on methodology.
Ensure each metric has a clear owner and is well maintained, supporting metric owners and getting involved when decisions require it.
Develop and shape a perspective on how measurement should evolve over time with business leaders in Content, Finance, and Product.
Help partners determine what to measure when new questions arise and the appropriate level of rigor.
Set and maintain organization-wide practices for building and validating measurements.
Work with data engineering and product teams to ensure established metrics are reliable and well documented for users.