Data Scientist, Instagram Creator Monetization

San Francisco, CA | Remote, US

Creators are critical to Instagram’s success. They shape public opinion, drive culture and are the present and future of entertainment. What they want is to spend all of their time exercising their talent and producing content. In order to do so, they need a platform to help pay the bills. The Creator Monetization team builds products to do just that, help creators both large and small turn their passion into a living through a diverse portfolio of products from live user pay, branded content, shopping and video ads. This is a new muscle for Instagram and a top product priority. We are looking for a Data Scientist that wants to help drive the long-term strategy for revenue sharing, making it a core part of our monetization portfolio. Revenue sharing on video ads is a powerful way to help creators earn an income and rewarding them for the engaging video content they make. If you thrive in mature environments and scaled teams, this is not the role for you. If you do best in 0-to-1 spaces and transforming an idea into a set of products that you will into existence, this is going to be a fun role.


  • Drive strategic organization-wide data science initiatives and serve as tech lead on Creator Monetization Revenue Share and critical data science projects within the Creator Monetization pillar
  • Be a strategic partner for the Revenue Share team in identifying high impact analytical problems and find innovative ways to tackle these problems via data analysis, experimentation, and statistical modeling
  • Evolve our measurement strategy by identifying novel metrics and measurement approaches to guide product strategy, goaling and experiments
  • Provide technical and product mentorship to members of Creator Monetization data science to ensure continual up-leveling of our expertise
  • Drive or partner to execute on high priority learning/measurement initiatives for Revenue Share and the broader Creator Monetization team, Instagram, and Facebook
  • Establish strong trusted relationships with the data science and product communities of Instagram and Facebook

Minimum Qualifications

  • Masters Degree with 4+ years (or PhD with 2+ years) of experience working in the consumer media or consumer product, including at least 2 years serving in a lead capacity
  • Experienced programming skills: Expert knowledge of SQL, Python, R
  • Experience leading and personally executing cross-functional data science projects with measurable organizational and product impact
  • Demonstrated an extensive track record of great judgement in balancing practical business needs and scientific rigor
  • Experience communicating and connecting with and influencing a broad spectrum of audiences
  • Practical, hands-on experience with a wide variety of statistical inference and modeling methods
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.

Preferred Qualifications

  • Experience with digital ads and a deep understanding of the ads ecosystem
  • Experience helping creators turn their interest into a living

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started.

Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, genetic information, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

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