Data Scientist, Analytics - Instagram Notification Systems

Remote, Contiguous US | New York, NY

Instagram Notification Systems Team (IGNS) is responsible and accountable for the overall notifications experience at Instagram — creation, delivery, support, enhancements, standards and governance of the platforms Instagram uses to communicate with its users. The IGNS team has been one of the biggest drivers of user growth over the past few years, as we’ve seen that properly designed push and in-app notifications help users connect with their friends and interests. The team owns all communication channels within the app: in-app badging, push, email, SMS, quick promotions. We are looking for a lead data scientist for the team, helping ensure our billion+ users can keep in touch with their friends and interests. The data scientist would help realize the optimal on- and off-site experience for every IG user through customized targeting and delivery of notifications and determine success metrics for the team. The person should be interested both in the technical details of how we target and deliver notifications reliably, and the strategic implications of how we use notifications to grow adoption of features within the app. Additionally, the person would work with cross-functional partners and other data scientists across Instagram and Facebook, communicating findings and recommendations. Finally, the person will also be expected to mentor and support analytics partners across the space.


  • Partner with product and engineering teams to identify opportunities and solve important user problems
  • Support developing product roadmaps and coordinate analytics efforts across teams
  • Partner with engineering to structure and evaluate complex experiments across apps
  • Effectively communicate insights and recommendations to cross-functional partners
  • Define product success metrics, forecast metric changes, and set team goals
  • Support building and auditing key datasets to empower operational and exploratory analyses

Minimum Qualifications

  • Degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)
  • 6+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, MATLAB)
  • 6+ years of experience doing complex quantitative analysis and working with distributed (i.e. Hive, Hadoop or similar databases) or highly complex datasets
  • 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

  • Experience leading complex analytics projects across multiple functions and stakeholders
  • Experience communicating complex research in a clear, precise, and actionable manner
  • Comfort proposing, designing, and analyzing complex, large-scale experiments

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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