Data Scientist, Legal

Facebook ,
London, Greater London
More Details

Overview

Job Description

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: Want to work on social issues? Excited about solving new problems at an unheard-of scale? The OPTech Data Science team in Facebook's Legal organization is looking for a senior Data Scientist who can apply their expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Facebook users interact with our consumer and business products. The ideal candidate will work across areas of Counter Terrorism, Child Safety, Organized Crime, Anti-Money Laundering, Anti-Corruption, and Ethics & Compliance to keep our platform safe. Required Skills: 1. Mine massive amounts of data and perform large-scale data analysis to extract useful business insights. 2. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior. 3. Building models of user behaviors for analysis or to power production systems. 4. Partner with Integrity ML engineers, Research Scientist and Engineers to solve problems and identify trends and opportunities. 5. Design and implement dashboards and reports that track key business metrics and provide actionable insights. 6. Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups. 7. Large scale data processing using distributed systems (Hadoop, Hive, MapReduce, or MPI) 8. Statistical analysis using R, MATLAB, SPSS, SAS, or Stata 9. Developing in scripting language: PHP or Python Minimum Qualifications: 10. Master's degree in Statistics, Mathematics, Computer Science or a related technical field 11. Solid programming experience, preferably Python 12. Minimum 3 to 4 years of experience using ML techniques 13. Experience with algorithm evaluation and determination of success criteria 14. Experience in using quantitative analysis techniques: clustering, regression, pattern recognition, or descriptive and inferential statistics 15. Experience working with large data sets and network-based data (TCP or HTTP), ETL (Extract, Transform, Load) processes, and relational databases (SQL or PL*SQL) Preferred Qualifications: 16. PhD in a quantitative discipline and 2+ years of hands-on experience in a data focused discipline. 17. Solid programming experience, preferably Python Industry: Internet

People also viewed