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Data Scientist, Legal - Facebook


Menlo Park, California
  • Data Scientist
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Job Details

Facebook's mission is to give people the power to share, and make the world more open and connected. Through our growing family of apps and services, we're building a different kind of company that helps billions of people around the world connect and share what matters most to them. 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 make the world more open and accessible. Connecting the world takes every one of us—and we're just getting started.


We’re looking for a Data Scientist to work on our Legal team. You will enjoy working with one of the richest data sets in the world, cutting edge technology, and the ability to see your insights turned into real world impact. The perfect candidate will have a background in a quantitative or technical field, a perfectionist mentality, and will have excellent communication skills. You are focused on accuracy, a self-starter, and have demonstrated success in using analytics to drive understanding and to influence business decisions. This position is based full time in our Menlo Park, CA office.



  • Pull ad hoc data from products across our entire company (Search, messages, Instagram, ads etc.) for use in legal matters
  • Automate analyses and author pipelines via SQL and Python based ETL framework
  • Build dashboards to bring your pipelines to life for non-technical partners
  • Stay up to date on new structured data sources within the Company as they are developed and help non-technical partners understand the use and content of these sources
  • Create and maintain internal documentation on pipelines, tools, data sets
  • This is a highly collaborative and cross-functional role:
    • Partner with lawyers across the Legal department to understand their data needs
    • Partner with economic consultants to develop product and financial models
    • Partner with data science teams to ensure accuracy of analyses
    • Partner with infrastructure and data engineers to manage large data sets effectively


Minimum Qualification

  • 5+ years’ experience doing quantitative analysis
  • SQL, Excel, and data analysis experience
  • Python scripting experience
  • Experience with distributed computing (Hive/Hadoop)
  • Experience with Unix/Linux
  • Experience initiating and driving projects to completion with minimal guidance
  • Experience working cross-functionally and communicating technical content to general audiences


Preferred Qualification

  • MBA or Masters in a technical discipline
  • PHP scripting experience
  • Experience working with non-technical partners


As part of our dedication to the diversity of our workforce, Facebook is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com or you may call us at 1+650-308-7837.