**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. Take advantage of massive amounts of structured data to understand how our customers interact with our product and service offerings. 2. Proactively identify opportunities to improve the experience of businesses on the Facebook family of apps using data science. 3. Lead the design, analysis, and interpretation of projects from data requirement gathering to data processing, modeling, and recommendations. 4. Partner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniques. 5. Design and execute experiments (e.g., A/B testing, multi-armed bandit). 6. Effectively communicate insights and recommendations to business leads and influence strategic decision-making. 7. Frequently switch between on-the-ground tactical execution and 30k foot strategy. 8. Data infrastructure: working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica, and automating analyses and authoring pipelines via SQL and Python based ETL framework. **Minimum Qualifications:** Minimum Qualifications: 9. Requires a Bachelor's degree (or foreign equivalent) in Statistics, Mathematics, Business Analytics, or a related field and 12 months of experience in the job offered or a data-science related occupation. 10. Experience must include 12 months involving the following: 11. 1. Machine learning techniques 12. 2. ETL (Extract, Transform, Load) processes 13. 3. Relational database (SQL or PL*SQL) 14. 4.Developing in Python 15. 5. Statistical analysis using R 16. 6. Large scale data processing infrastructures using distributed systems (Hadoop, Hive, MapReduce, or MPI) 17. 7. Quantitative analysis techniques: clustering, regression, pattern recognition and descriptive and inferential statistics 18. 8. Communicating and presenting results of data analyses. **Public Compensation:** $221,024/year to $235,400/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.