Data Scientist, Analytics

Meta·New York·United States·Analytics / BI

Meta is hiring a Data Scientist, Analytics in New York. Posted 2026-04-06; applications close 2026-06-05.

Apply on MetaPosted 16d ago

Role details

Job Description

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. Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

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Responsibilities

  • Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
  • Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for products that serve billions of people and hundreds of millions of businesses.
  • Identify and measure the success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
  • Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through insights and recommendations.
  • Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Qualifications

  • Master’s degree in Statistics, Mathematics, Data Analytics, or a related field.
  • 2 years of work experience in the job offered or a data science–related occupation.
  • 24 months of experience involving the following:
    • Machine learning techniques
    • Relational databases (SQL or PL/SQL)
    • Developing in Python
    • Quantitative analysis techniques, including clustering, regression, pattern recognition, and descriptive and inferential statistics
    • Communicating and presenting results of data analyses

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