Facebook F2 (Facebook Financial), Data Scientist in Helena, Montana
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's mission is to give people the power to build community and bring the world closer together. 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
Bachelors/Masters Degree with 4+ years (or PhD with 2+ years) of experience working within an analytical role
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
7+ years of experience working in an analytics organization
Experience in leading large projects
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 email@example.com.