**Summary:** As a Data professional at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will have the opportunity to work on complex and meaningful problems that have a direct impact on the lives of people around the world. You will have the chance to work with cutting-edge technology and tools to develop innovative solutions to some of the most pressing challenges facing our platform. You will have the satisfaction of knowing that your work is making a real difference in the lives of people and helping to create a safer and more trustworthy online community. **Required Skills:** Data Scientist - Security, Integrity, & Investigations Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop operational strategies. 3. Leverage ML and cutting edge GenAI capabilities to drive optimization for our investigative teams. 4. Lead the measurement, analysis, and interpretation of results from data requirement gathering, to modeling, and recommendations. 5. Identify and measure success of efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends. 6. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute strategy and investment decisions. **Minimum Qualifications:** Minimum Qualifications: 7. 6+ years of work experience in analytics (minimum of 4 years with a Ph.D.) 8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience. 9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) 10. Experience with data analysis and statistical modeling using the R or Python ecosystems, with packages such as pandas, Statsmodels, Scikit-learn, Tidyverse (dplyr, ggplot2, etc.) 11. Experience in leveraging ML and advanced GenAI to deliver data driven insights at scale. **Preferred Qualifications:** Preferred Qualifications: 12. Masters or Ph.D. Degree in a quantitative field. **Industry:** Internet