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.

Data Scientist Responsibilities

• Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our consumer and business products.
• Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
• Inform, influence, support, and execute our product decisions and product launches.
• Forecast and set product team goals, design and evaluate experiments, monitor key product metrics, understand root causes of changes in metrics, build and analyze dashboards and reports, build key data sets to empower operational and exploratory analysis, and evaluate and define metrics.
• Propose what-to-build in the next roadmap, understand ecosystems, user behaviors, and long-term trends, identify new levers to help move key metrics, and build models of user behaviors for analysis or to power production systems.
• Influence product teams through the presentation of data-based recommendations, communicate state of business and experiment results to product teams, spread best practices to analytics and product teams, and lead cross-functionally on defining and executing on analyses, including across other data scientists, data engineers, software engineers, user researchers, among others.
• Work in Hadoop, Hive, MySQL, Oracle, and Vertica, and automate analyses and authoring pipelines via SQL and Python-based ETL frameworks.

Minimum Qualifications

• Master's degree in Statistics, Mathematics, Computer Science, Engineering, or a related field.
  
  Requires completion of a graduate-level course, research project, or internship in each of the following:
• 1. Machine learning techniques
• 2. Relational database (SQL or PL*SQL)
• 3. Developing in Python
• 4. Statistical analysis using R, SPSS, SAS, and Stata
• 5. Quantitative analysis techniques: clustering, regression, pattern recognition, and descriptive and inferential statistics
• 6. Communicating and presenting results of data analyses.

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com. $१,८७,८८५/year to $१,९६,९००/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.