Meta is seeking a highly quantitative, analytical, and motivated data scientist for the Finance Data Science team. The Finance Data Science team has a unique bird's-eye view of Meta's world class advertising business and is positioned at the center of some of the most important strategic decisions for the company. The team is responsible for understanding business drivers, accurately forecasting revenue, identifying opportunities/risks, and maximizing ROI on the largest investments across the family of apps (Facebook, Instagram, Messenger, WhatsApp). This position will focus heavily on analyzing and modeling revenue drivers, understanding the ads ecosystem, building forecast models, and developing actionable insights to influence decision making. The role is highly cross-functional and partner facing, involving coordination across a variety of data science, product, and finance teams. Ideal candidates are highly motivated and have a track record of delivering actionable and data-driven insights; you will effectively combine technical expertise and business acumen, and drive to results in a fast-paced, dynamic environment. As an individual contributor, you will also be expected to raise the quality of the data science craft at Meta, and to provide technical leadership and mentorship to other data scientists.Bachelor's degree in a quantitative field (Economics, Mathematics, Statistics, Computer Science, or similar discipline) or equivalent experience 4+ years of experience in data science, quantitative analysis, or predictive modeling to inform business/financial strategy. Previous experience extracting and manipulating large datasets using data querying languages (e.g., SQL), scripting languages (e.g., Python), and/or statistical software (e.g., R). Demonstrably work experience with statistics (e.g., regressions, time series, causal inference, econometrics). Proven track record in synthesizing insights to influence decision-making through data-centric presentations, and communicating effectively across business and technical domains (including to leadership audiences). Effective collaboration, business communication, and project leading skills Experience working independently in a results-oriented environment Advanced degree in a quantitative field. Prior experience in a fast-paced, large-scale company or previous experience with the digital ads business.