Data Scientist, Revenue Forecasting & Analytics

Job Description

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 seeking a highly quantitative, driven, and creative data scientist for the Revenue Forecasting & Analytics (RFA) team. The RFA team is a uniquely data intensive part of Facebook's finance organization, and plays a crucial role in delivering key revenue insights to management. This position will focus on forecasting and analyzing revenue for the advertising business while partnering across Finance and product leadership. The role is highly cross-functional and partner facing, involving coordination across a number of groups within Facebook. This role will challenge the candidate to both understand and contribute to many facets of a rapidly growing business, including revenue forecasting, analytics, and strategic decision support. Responsibilities will revolve around driving revenue planning, developing actionable insights for the business, and influencing decision makers to enable revenue growth. This team's focus on analysis and data-driven decision-making allows us to work effectively with our colleagues in the rest of the business in order to optimize long-term financial growth. Successful candidates will have exceptional analytical skills, bias toward action, exceptional partnering and communication skills, and the know how to balance getting the details right while still moving fast. The position is located in Menlo Park, CA and is full-time.


  • Analyze large datasets, interpret trends, and identify actionable insights and opportunities
  • Assess market opportunities, analyze current business performance and build statistical models to extrapolate current and historical trends into forward-looking forecasts
  • Monitor forecasts and benchmark performance internally and externally while understanding the sources of deviation
  • Identify and track financial KPI's
  • Provide deep analytic support and business context to identify and drive critical growth initiatives
  • Conduct revenue analysis to identify trends and factors of growth
  • Present outcomes at reviews with business leaders across Facebook
  • Maintain/create core infrastructure and models while proactively surfacing opportunities
  • Influence the direction of the business by effectively communicating results to the rest of the team and company leaders

Minimum Qualifications

  • BS or MS in business-related or quantitative field (Economics, Math, Statistics, Engineering, or similar discipline)
  • 2+ years of experience in data science, analytics, business strategy, or finance
  • Work experience using SQL, R
  • Experience in Microsoft Excel and PowerPoint
  • Experience synthesizing strategic insights and problem-solve individually or in a group setting and knowledge of key financial drivers of the business
  • Experience shifting priorities while maintaining a high degree of organization and control

Preferred Qualifications

  • Highly motivated, hard-working, and able to think clearly under pressure
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