Facebook Data Scientist, Analytics - Instagram Ecosystems in Boston, Massachusetts
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 Mission of the Instagram Ecosystems team is to make sure that Instagram thinks holistically about the user experience and that the company optimizes for the long term success of the app. While Data Scientists across Instagram are focused on making sure that the products they support are successful, there are important questions that fall out of the scope of a single product group or that simply fall through the cracks. These are the questions that the Ecosystems team is tasked with answering. The projects this team tackles are extremely horizontal, cross functional, and of strategic nature. If you enjoy working on ambiguous, 0 to 1 projects, you’ll enjoy working on this team.
Develop a framework to establish budgets across product groups so that they make optimal tradeoffs.
Set north star metric goals for the Instagram app.
Present results and recommendations to Instagram leadership.
Ability to communicate the results of analyses with product and leadership teams to influence the strategy of the product.
Define problems and opportunities in a complex or ambiguous area.
MS, PhD or advanced degree in Computer Science, Engineering, Math, Statistics, Physics, Economics, or equivalent practical experience.
6 plus years of experience working in the analytics field.
Experience working independently and as a member of a cross functional team.
Communications experience and experience explaining technical concepts and analysis implications to varied audiences and translate business objectives into actionable analysis.
Experience in querying and manipulating raw datasets for analysis.
Experience in SQL or other programming languages.
Understanding of statistics (hypothesis testing, regressions, etc.).
Experience with Hive, R, and Python preferred.
Causal inference experience preferred.
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. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at firstname.lastname@example.org.
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