Data Scientist - Law Enforcement Analytics & Program

Summary:Meta is seeking a Data Scientist to join our Law Enforcement Analytics & Program (LEAP) team. Our mission is to enable Meta's capacity to balance public safety, user privacy, and compliance obligations at scale through strategic coordination, technical leadership, and operational success across the Security, Integrity, Investigations (SI2) legal team and its partners. This role leverages AI, data and insights to drive decisions that enable predictability, and proactive detection, allowing us to operate efficiently and reliably at scale.You will be building AI models and will be involved in the design, development, and deployment of intelligent solutions that reduce the operational and investigative burden. This role will directly impact the scalability and efficiency of our operations and investigations through proactive detection, automation, and resolution of routine tasks, inefficiencies, and incidents. In addition, this is a crucial role in translating data into action and identifying opportunities for efficiency and effectiveness.Required Skills:Data Scientist - Law Enforcement Analytics & Program Responsibilities:Translate business challenges into clear, actionable requirements for AI-enabled solutionsMap end-to-end business processes, highlighting areas where AI can drive efficiency and valueDesign, build and implement AI automationsDevelop and deploy solutions and AI prompts to identify and address bottlenecks, replacing manual interventions with intelligent automationCreate scalable automation mechanisms that proactively monitor, analyze, and reportBuild robust predictive models using statistical and machine learning techniques to forecast risks, anticipate issues and optimizeDevelop monitoring tools to trigger early warnings and facilitate rapid resolution through automationActs as a data subject matterFormulate the right metrics, measures, and definitions of success to drive quality, efficiency, cost, and timeliness understanding the source dataPerform complex data analysis leveraging data streams available to drive proactive and predictive actionPartner with operational analysts, investigators, and engineering partners to understand pain points, identify repetitive tasks, and translate them into opportunities for automationBring multiple areas of business and engineering together via a common reliable foundation of common data, metrics, and insightsBuild data tables and dashboards, and leverage these for interpreting incidents and trendsLeverage tools like Tableau, Python, and SQL to drive efficient analyticsMinimum Qualifications:Minimum Qualifications:6+ years of experience in analytics, engineering, and use of AI/ML6+ years of SQL development experience and scripting language like PythonHands-on experience with AI/ML frameworks (e.g. TensorFlow, PyTorch, Scikit-learn) and automation tools/platformsExperience with data visualization tools and leveraging data models to drive business decisionsExperience with statistics (e.g. statistics basics, statistical modeling, experimental design, hypothesis testing, etc.)Demonstrated experience with proactively identifying, scoping and implementing solutionsHands-on experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across stakeholdersBachelor's Degree in an anlaytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, or Data Science)Preferred Qualifications:Preferred Qualifications:Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesExperience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Master's Degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, or Data Science)Public Compensation:$151,000/year to $213,000/year + bonus + equity + benefitsIndustry: InternetEqual Opportunity:Meta is proud to be an Equal Employment 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. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta 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 accommodations-ext@meta.com.