Data Scientist, Analytics – Instagram Product Performance

New York, NY

The Instagram Product Performance team works to ensure an exceptional experience for all 1.5 Billion Instagram users regardless of location, network or device. We work for all users from the Influencer on a top of the line phone to users in emerging markets who face barriers due to device or network constraints. The team works across the full array of Instagram’s surfaces (Feed, Stories, Reels, Live, Camera, etc.) to understand how Performance (crashes, start-up time, media loading latency, video quality) affects the user experience. We are looking for a Data Scientist who is interested in the linkages between the technical side of application, network, and media performance and the human side of how our users engage with Instagram. This person will analyze how changes to performance affects user behavior and develop strategies to maximize the impact of performance changes to our user’s and to Instagram’s overall strategies.

Responsibilities

  • Work cross-functionally to define problem statements and create long term product vision
  • Apply analytical skills to gain deep insights into Instagram’s Performance and how it affects the user-experience
  • Influence the product roadmap and decisions made through the presentation of data-based recommendations
  • Partner with Product and Engineering teams to solve problems and identify new levers to improve performance and the user experience
  • Effectively communicate insights and recommendations to cross-functional partners
  • Define product success metrics and set team goals
  • Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making

Minimum Qualifications

  • Advanced degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Physics, Statistics, Operations Research) or equivalent practical experience
  • 6+ years of experience doing quantitative analysis including experience with SQL, other programming languages (e.g, Python) or statistical/mathematical software (e.g, R, SAS, Matlab)
  • Experience answering big picture questions by framing the question, turning it into an analytical plan, executing and communicating to stakeholders
  • Experience initiating and driving projects to completion with minimal guidance
  • Experience on working with multiple cross functional partners and influence decision making based on data
  • Experience with developing statistical frameworks to understand users and their behaviors OR methods for causal inference/quasi-experimental design in an applied setting
  • Experience with applied statistics or experimentation in an industry setting

Preferred Qualifications

  • Enthusiasm for the application, network, and media performance space and the problems the Product Performance team is trying to solve
  • Experience in the application, network, and media performance space
  • Experience in a consumer technology, social media, or media-intensive (e.g, streaming video) company

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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