Description

Great entertainment thrills and inspires. Around the world, we connect hundreds of millions of people with the
best television, films, live events, games, and more. Our product is at the heart of making these connections.
To build best-in-class product experiences, we develop thoughtful long-term strategies, bring the best talent
together, and let them creatively problem-solve with a strong and unique work culture.

Almost three years ago, we launched a new ad-supported tier allowing our members to experience Netflix at
a lower price. Since then, we've kept on building on our goal of providing more choices for consumers and a
premium brand experience for advertisers. In building out this offering, it is critical to ensure that the member
experience remains central to how we innovate.

We are seeking a Senior Data Scientist with strong causal inference, experimentation, and, ideally, historical
Ad experience to improve our understanding of, elevate, and evolve the ad offerings for our members. In this
role, you will drive a foundational understanding of how members interact with our Ads service, build
capabilities to optimize the ads experience for members, and support experimentation to bring these
experiences to life. Some questions you might answer include “How do we best show ads to our members?”,
“How do we identify, measure, and resolve where ads are giving members a bad experience?” and “When,
where, and how many ads should we be showing our members?”
 

In this role, you will:

• Evolve our Ads experience to shape how our members experience Netflix.
• Develop frameworks that help us decide trade-offs and other critical decisions to optimize our
  member experiences.
• Establish strong partnerships with stakeholders to shape the intersection of Ads with our core
  product, leveraging methods such as experimentation and metric development.
• Facilitate ownership and accountability by ensuring that the team produces trustworthy and
  high-quality outputs that influence the decisions and direction of Ads at Netflix.
• Be flexible to changing circumstances - The Netflix Ads offering is evolving rapidly, and this role will
  help shape that evolution.

To be successful in this role, you have:

• Advanced degree in Statistics, Mathematics, Computer Science, Economics or related quantitative field.
• 5+ years of relevant experience focused on building and delivering real-world machine learning
  models with demonstrated impact.
• Strong statistical knowledge and intuition - ideally utilized in experimentation or other product
  analytics settings.
• Strong Quantitative Programming skills in a language such as Python.
• Exceptional oral and written communication skills. You have a track record of being a trusted partner
  to stakeholders with diverse backgrounds and roles.
• You’ve successfully operated in a company where collaboration and integration with other teams
  across multiple disciplines is essential to your team's success.
• Demonstrated ability to communicate and drive product change across various stakeholders,
  particularly in complex or ambiguous problem spaces.
• Ability to work independently and drive your own projects.
• Embodies Netflix values while bringing a new perspective to continue to improve our culture.