**Summary:** Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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. To apply, click “Apply to Job” online on this web page. **Required Skills:** Data Scientist Responsibilities: 1. Managing a team of data scientists to develop strategies for Meta products that serve billions of people and hundreds of millions of businesses, creators, and partners around the world. 2. Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions. 3. Influence product direction through clear and compelling presentations to leadership. 4. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. 5. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends. 6. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through insights and recommendations. 7. Contribute towards advancing the Data Science discipline at Meta, including but not limited to driving data best practices (e.g. analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists. **Minimum Qualifications:** Minimum Qualifications: 8. Requires a Master's degree in Computer Science, Engineering, Management Science, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field. Experience and/or education should include the following: 9. 1. Performing quantitative analysis including data mining on highly complex data sets 10. 2. Data querying language: SQL 11. 3. Scripting language: Python 12. 4. Statistical or mathematical software including one of the following: R, SAS, or Matlab 13. 5. Applied statistics or experimentation, such as A/B testing, in an industry setting 14. 6. Machine learning techniques 15. 7. ETL (Extract, Transform, Load) processes 16. 8. Relational databases 17. 9. Large-scale data processing infrastructures using distributed systems 18. 10. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics. **Public Compensation:** $267,153/year to $279,400/year + bonus + equity + benefits **Industry:** Internet **Equal 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@fb.com.