**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:** Decision Scientist Responsibilities: 1. Collaborate with our marketing teams to drive informed decisions using product usage data and survey results. 2. Understand the attitudes, emotions, and opinions of Meta product users to enhance product awareness and foster meaningful interactions on the platform. 3. Scope, design, execute, measure, and enhance the impact of our marketing efforts globally and on our business. 4. Translate data insights into actionable recommendations that enhance brand sentiment, user growth and engagement, and marketing effectiveness. 5. Develop quantitative analyses, tools, ad hoc reports, and models to support marketing decision-making, focusing on areas such as retention, sentiment, lifetime value, messaging, promotions, usage, and engagement. 6. Create data visualizations including charts, infographics, and dashboards to effectively communicate findings and recommendations to internal stakeholders. **Minimum Qualifications:** Minimum Qualifications: 7. Requires a Master’s degree (or foreign equivalent) in Marketing Intelligence, Marketing, Economics, Mathematics, Analytics or related field and 3 years of work experience in job offered or in a data-related occupation. 8. Requires a 3 years of experience in the following: 9. 1. Programming languages Python, R, and PHP 10. 2. Database technologies - SQL, Hadoop, and Hive 11. 3. Statistical analysis methods including linear regression analysis, decision analysis, and statistical modeling 12. 4. Data manipulation for building datasets 13. 5. Statistical modeling and data analysis techniques like significance testing, regression modeling, and sampling theory 14. 6. Creating data visualizations using tools Dplyr, Rstudio, NumPy, or Pandas 15. 7. Developing data pipelines 16. 8. Writing production code for automated models 17. 9. Causal Inference Modeling 18. 10. Longitudinal time-series prediction modeling or other prediction models 19. 11. Machine learning, data mining, and natural language processing. **Public Compensation:** $190,120/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.