Facebook Data Scientist - Business Payments in Pierre, South Dakota
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.
Business Payments handles the $70 Billion plus payments advertisers make to Facebook. Our mission is to make this as seamless a process as possible, while giving our customers the tools and products they need to run and grow their business. As Facebook doubles down on payments with the creation of the F2 organization, business payments is positioned to unlock billions of dollars in new spend by refining existing systems, deciding what billing system is best for each of our 7 Million plus customers, and creating new revenue verticals. We are looking for strong Data Scientist who can work closely with Engineering, Product, Design, and Research leads to drive analytics, modeling, and product strategy that make company level impact. Ideal candidates will have genuine interest in diving deep into the data to develop a theory and weave a compelling and digestible narrative.
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
Proven Machine Learning and statistical knowledge
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 with large scale Machine Learning systems
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 firstname.lastname@example.org.
- Facebook Jobs