Data Scientist, LTS - Legal

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Data Scientist, LTS - Legal
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Want to work on social issues? Excited about solving new problems at an unheard-of scale? The Legal Technology Solutions (LTS) Data Science team in Facebook’s Legal organization is looking for a 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. Mine massive amounts of data and perform large-scale data analysis to extract useful business insights. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior. Building models of user behaviors for analysis or to power production systems. Partner with Integrity ML engineers, Research Scientist and Engineers to solve problems and identify trends and opportunities. Design and implement dashboards and reports that track key business metrics and provide actionable insights. Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups. Work across areas of Counter Terrorism, Child Safety, Organized Crime, Anti-Money Laundering, Anti-Corruption, and Ethics & Compliance to keep our platform safe.
Data Scientist, LTS - Legal Responsibilities
  • Use Machine Learning (ML) techniques to build solutions
  • Work with large-scaled data sets and perform ETL (Extract, Transform, Load) processes
  • Use scripting language: PHP or Python for model development
  • Perform statistical analysis using Python or R
  • Perform large scale data processing using distributed systems (Hadoop, Hive, MapReduce, or MPI)
  • Perform Quantitative analysis techniques: clustering, regression, pattern recognition, or descriptive and inferential statistics
  • Communicate and present results to stakeholders
Minimum Qualifications
  • Master’s degree in Statistics, Mathematics, Computer Science or a related technical field
  • Minimum 3+ years of experience using ML techniques
  • Experience with algorithm evaluation and determination of success criteria
Preferred Qualifications
  • PhD in a quantitative discipline
  • 2+ years of hands-on experience in a data focused discipline
  • Programming experience, preferably Python
Locations
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
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