Facebook Data Scientist, Analytics - Signals and Identity in Menlo Park, California


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.


The Signals and Identity team mission is to understand all people and their activities to make connections with businesses more meaningful. Products built by this team collect signals from various channels and enable them across Facebook in an ads-first, but not ads-only orientation (i.e., ad measurement, optimization, and reporting, but also to enhance Marketplace, Newsfeed, Messenger, Instagram, and more). Identity is one of the most strategic areas of investment and growth in the future within ads. As a result, the team is looking for a highly entrepreneurial Data Scientist with extraordinary product sense who can collaborate with the Engineering and Product teams to protect and enhance the value of Facebook identity.

Required Skills:

  1. Provide technical and thought leadership on designing, prototyping, implementing and automating complex analyses

  2. Partner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniques

  3. Have a proactive mindset to identify, detect, and mitigate risk to our ecosystem, and be able to clearly articulate a tactical and strategic plan to combat it

  4. Effectively communicate insights and recommendations to management in support of strategic decision-making

  5. Plan, and be able to conduct as needed, end-to-end analyses, from data requirement gathering, to data processing and modeling

  6. Own ongoing deliverables and communications

  7. Work with data engineers to architect, develop, and optimize data and modeling pipelines

Minimum Qualifications:

  1. MS degree in a quantitative discipline (e.g., marketing, statistics, operations research, econometrics, computer science, applied mathematics, physics, electrical engineering, industrial engineering) or equivalent practical experience

  2. 8+ years experience doing quantitative analysis or statistical modeling

  3. Experience extracting and manipulating large datasets

  4. Experience in influencing product strategy through data-centric presentations (to product, business, and other stakeholders)

Preferred Qualifications:

  1. Advanced degrees

  2. Experience with distributed computing (Hive/Hadoop)

Industry: Internet

Equal Opportunity: 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, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com or you may call us at +1 650-308-7837.