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Facebook Data Scientist - Business Payments in Pierre, South Dakota

Intro:

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.

Summary:

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.

Required Skills:

  1. Build a long term vision with an understanding of the competitive landscape

  2. Understand the complex payments engine and identify the bottlenecks and opportunities

  3. Identify low-hanging fruit and develop best-in-class analytical solutions

  4. Build an experiment design and evaluation framework customized to the nuances of the product area

  5. Identify and build the right metrics for measuring success and failure

  6. Develop scalable decisioning systems ready for production environments

  7. Drive data engineering priorities that enable analytical and modeling success

  8. Level-up the analytics organization with deep domain expertise

  9. Drive stakeholder and executive trust with strong communication founded on technical rigor

Minimum Qualifications:

  1. Bachelors/Masters Degree with 4+ years (or PhD with 2+ years) of experience working within an analytical role

  2. Proven Machine Learning and statistical knowledge

  3. Experience working independently and as a member of a cross-functional team

  4. Experience in querying and manipulating large datasets for analysis

  5. Python, R or SQL experience

  6. Experience answering big picture questions by framing the business question into an analytical plan and communicate to stakeholders

  7. Strategic thinking and can drive the direction of the team

Preferred Qualifications:

  1. 7+ years of experience working in an analytics organization

  2. Payments/Fintech experience

  3. Experience with large scale Machine Learning systems

  4. Experience in leading large projects

Industry: Internet

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 accommodations-ext@fb.com.

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