Job was saved successfully.
Job was removed from Saved Jobs.

Job Details


Meta (formerly known as Facebook)

Data Scientist, LTS - Legal

Computer and Mathematical

All

Yearly

No

New York, New York, United States

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.

Required SkillsData 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
Minumum QualificationMinimum 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 QualificationPreferred Qualifications:
  • PhD in a quantitative discipline
  • 2+ years of hands-on experience in a data focused discipline
  • Programming experience, preferably Python

(Colorado only*) Estimated salary of $153,000/year + bonus + equity + benefits *Note: Disclosure as required by sb19-085(8-5-20)

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 [Register to View]