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Data Scientist
Data Scientist-January 2024
Seattle
Jan 29, 2026
ABOUT META
We’re building a team as diverse as the communities and billions of people we serve every day. Our teammates don’t need to conform here. Lived experiences are an asset, and we value your unique perspe
10,000+ employees
Social Media, Technology
VIEW COMPANY PROFILE >>
About Data Scientist

  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, WhatsApp, and Novi 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:

  Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products

  Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how users interact with both consumer and business products

  Partner with Product and Engineering teams to solve problems and identify data trends and opportunities

  Inform, influence, support, and execute product decisions and product launches

  May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure

  Work on data problems of diverse scope where analysis of data requires evaluation of identifiable factors

  Apply and manipulate large sets of data using statistical software

  Salary: $161,700.00-$191,000.00 + bonus + equity + benefits. Individual pay within the stated range is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus or equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta at this link: https://www.metacareers.com/facebook-life/benefits

  Minimum Qualifications:

  Minimum Qualifications:

  Master's degree in Mathematics, Statistics, Data Analytics, Computer Science, Engineering, Computational Sciences, or a related field. Completion of a graduate-level course, research project, or internship involving the following:

  Performing quantitative analysis including data mining on highly complex data sets

  Data querying language(s) including SQL

  Scripting language(s) including Python

  Machine learning techniques

  ETL (Extract, Transform, Load) processes

  Large-scale data processing infrastructures using distributed systems

  Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics

  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 [email protected].

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