Data Scientist, Analytics - Jobs Integrity on Marketplace

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

Commerce is one of the biggest focus areas for Facebook in the coming decade, and Marketplace already has hundreds of millions of users. The Jobs product has helped over 5 million people get a job, and we're just getting started. We have an ambitious 3-year vision to become the number one job board in the world. The mission of Jobs Integrity is to protect users and our platform from scams and offline harm caused by bad actors who violate our standards and policies. There is broad cross-functional collaboration between Data Science and Engineering, Product Management, Operations, Data Engineering, Analysts, and more. Data Science plays a key role in driving both tactical and strategic decisions within the team since data-driven understanding is critical to achieving success in this complex and dynamic space. We employ sophisticated machine learning models to catch fraud and malicious platform behavior at scale, so you'll also work with the ML engineers on the team to support their approaches and experiments.This role focuses on 4 key areas:Product success measurement: what goals should we set? What moves our core metrics and why? What proxy metrics can help us make faster progress with directional validity and superior coverage & latency? How can we design experiments to test complex and non-UI changes?Harm prioritization: where should we be investing to protect good users? How much improvement could we make via automated and manual defense systems? System maturity: how can we reduce the time from new exploits to remediation? What foundational investments will help us scale faster with higher quality? Which guardrails are most important?Unbiased estimation of sparse signals: with measurements of rare events, how can we keep track of what's happening even when we only have partially observed data?You are a fit if you: Enjoy stopping bad actors to protect good users, enjoy holistic thinking through tradeoffs and optimization, are energized by product iterations through pattern surfacing, hypothesis testing, and deep behavioral analytics, enjoy driving and influencing product roadmaps with your cross functional partners and readily perceive, and seize opportunities in complex or ambiguous areas.

Required Skills

  • Drive strategies and decisions via analysis and experimentation
  • Apply your expertise in quantitative analysis and data presentation to see beyond the numbers
  • Establish dashboards, anomaly detection, and metrics to monitor and understand system health and emerging trends
  • Conduct deep dive analysis on specific issues to understand their root cause
  • Communicate opportunities to broad cross-functional teams and provide actionable next steps
  • Partner closely with Product, Engineering, Ops and other cross-functional teams to drive product direction and prioritize roadmap


Minimum Qualification

  • Bachelors/Masters Degree with 4+ years (or PhD with 2+ years) of experience working within an analytical role
  • Experience working independently and as a member of a cross-functional team
  • Experience in querying and manipulating large datasets for analysis
  • Knowledgeable in Python and SQL
  • Strategic thinker who can drive team direction


Preferred Qualification

  • 7+ years of experience working in an analytics organization
  • Experience in the integrity/fraud/trust & safety space
  • Experience leading large projects in the tech industry


EOE

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.