Data Scientist, Product

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. ### Responsibilities - Collect, organize, interpret, and summarize statistical data to contribute to the design and development of Meta products. - Apply expertise in quantitative analysis, data mining, and data presentation to understand user interactions with both consumer and business products. - Partner with Product and Engineering teams to solve problems and identify trends and opportunities. - Inform, influence, support, and execute product decisions and launches. - Work on projects in areas including product operations, exploratory analysis, product influence, and data infrastructure. - Analyze situations or data requiring a review of various factors and exercise judgment within defined procedures. ### Qualifications - Bachelor's degree (or foreign equivalent) in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Information Systems, Applied Sciences, or a related field. - Experience with quantitative analysis, data mining, and data querying languages such as SQL. - Proficiency in scripting languages like Python and statistical software including R, SAS, or Matlab. - Knowledge of applied statistics or experimentation (e.g., A/B testing) in an industry setting. - Familiarity with machine learning techniques and ETL processes. - Experience with relational databases and large-scale data processing infrastructures using distributed systems. - Understanding of quantitative analysis techniques such as clustering, regression, or descriptive and inferential statistics. **Telecommuting from anywhere in the U.S. is allowed.**