Data Science Manager, Instagram Shopping Demand

Menlo Park, CA | New York, NY | San Francisco, CA | Remote, US

In this role, you will help to bring Facebook Inc.‘s Commerce strategy to life on Instagram by driving analytical work critical to the area’s short- and long-term success. This leader will oversee the Demand pillar for Instagram Shopping, which owns all consumer experiences in our e-commerce business. We are looking for a leader with excellent product sense and analytical ability to drive informed product decisions. You are scrappy, focused on results, a self-starter, and have demonstrated success in using analytics to drive the understanding, progression, and user engagement of a product. This is a high-visibility role, so the ideal candidate has very strong communication skills and should be comfortable interfacing with leaders in a cross-functional capacity within a fast-paced, multi-disciplinary environment. Key skills we’re looking for are: Excellent communication, excellent at distilling complex information and communicating it clearly and concisely to executives, peers, and reports. Experience managing, mentoring and growing other DS managers. This person will be an org leader who is comfortable, passionate, and experienced in mentoring and growing managers. Optional, but bonus points — Experience in e-commerce, building two-sided marketplaces, and/or building consumer products at scale.


  • Set goals/metrics to guide and prioritize product roadmaps, generate new product directions, and perform as a strategic thought leader for the Data Science and cross-functional organizations.
  • Maintain a high bar in terms of product thinking and analytical depth for your team through selective hiring and mentorship.
  • Support and grow other data science managers and ICs.
  • Lead high performing teams of data scientists to conduct analytics studies and experimentation to identify new product opportunities and shape product strategy.
  • Manage and scale the Data Science function for Instagram Shopping products.
  • Lead cross-functional and cross-team relationship building and collaboration with product and engineering teams.

Minimum Qualifications

  • 4+ years of experience in managing other team members in a formal or informal capacity
  • 6+ years of experience doing quantitative analysis at a technology company, consulting, investment banking, or product management including experience with SQL or other programming languages
  • Experience initiating and drive projects to completion with minimal guidance
  • Experience communicating and representing results of analysis to senior leadership
  • 6+ years of experience with applied statistics or experimentation (i.e. A/B testing) in an industry setting
  • 4+ years of experience communicating the results of analyses to leadership teams to influence the strategy

Preferred Qualifications

  • Bachelor Degree in Computer Science, Math, Physics, Engineering, or related quantitative field
  • Understanding of statistical analysis, experience with packages, such as R, MATLAB, SPSS, SAS, Stata, etc.
  • Experience with large data sets and distributed computing (Hive/Hadoop)

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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