Data Scientist, Analytics (Integrity)

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 â€" we're just getting started.

We're looking for Data Scientists to work on measuring, detecting, reducing, and preventing negative experiences such as Hate Speech and Fake News in order to ensure that Facebook is a safe and welcoming community.


  • The Data Scientist, Analytics (Integrity) role has work across the following four areas:
  • Data Infrastructure
  • -Working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica
  • -Automating analyses and authoring pipelines via SQL and python based ETL framework
  • Product Operations
  • -Forecasting and setting product team goals
  • -Designing and evaluating experiments
  • -Monitoring key product metrics, understanding root causes of changes in metrics
  • -Building and analyzing dashboards and reports
  • -Building key data sets to empower operational and exploratory analysis
  • -Evaluating and defining metrics
  • Exploratory Analysis
  • -Proposing what to build in the next roadmap
  • -Understanding ecosystems, user behaviors, and long-term trends
  • -Identifying new levers to help move key metrics
  • -Building models of user behaviors for analysis or to power production systems
  • Product Leadership
  • -Influencing product teams through presentation of data-based recommendations
  • -Communicating state of business, experiment results, etc. to product teams
  • -Spreading best practices to analytics and product teams
  • 2+ years experience doing quantitative analysis
  • BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical field
  • Experience in SQL or other programming languages
  • Experience initiating and driving projects to completion with minimal guidance
  • Experience communicating the results of analyses
  • Knowledge of statistical analysis
  • Experience with a statistical package such as R, MATLAB, SPSS, SAS, Stata, etc.
  • Experience with an Internet-based company

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