Data & Analytics | Menlo Park, CA - Seattle, WA - New York, NY - Remote, US
Building on this core mission, F2 (Facebook Financial) is a product group focused on building products to ensure that everyone, everywhere has access to the world’s financial system to accelerate financial inclusion and economic empowerment. F2 builds & supports all things payments and financial services experiences at Facebook, including Novi, Facebook Pay, payments on WhatsApp, and advertiser billing, among other products. We are looking for experienced data scientists who are passionate about F2’s vision, and who can help shape the future of what we build using data. You will enjoy working with cutting edge technology and will have the ability to see your insights turned into real products on a regular basis. You will get to work on diverse areas ranging from product strategy & growth, to ML risk models & infrastructure reliability, closely interacting with Engineering, Product, Design and Research to drive company level impact.
Build a long-term vision with an understanding of the competitive landscape
Understand the complex payments engine and identify the bottlenecks and opportunities
Identify low-hanging fruit and develop best-in-class analytical solutions
Build an experiment design and evaluation framework customized to the nuances of the product area Identify and build the right metrics for measuring success and failure
Develop scalable decisioning systems ready for production environments
Drive data engineering priorities that enable analytical and modeling success
Level-up the analytics organization with deep domain expertise
Drive stakeholder and executive trust with strong communication founded on technical rigor
Knowledge of statistics
Experience working independently and as a member of a cross-functional team
Experience in querying and manipulating large datasets for analysis Python, R or SQL experience
Experience answering big picture questions by framing the business question into an analytical plan and communicate to stakeholders
Strategic thinking and can drive the direction of the team
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
7+ years of experience working in an analytics organization
Experience in leading large projects
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