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Meta Logo Meta · IT - Software Development

Data Scientist, Small Business Group

United States, Menlo Park Employment contract 253820.00 - 284900.00 USD / Year · Job Posted April 23, 2026
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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. 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.

Job Responsibility

  • Take advantage of massive amounts of structured data to understand how our customers interact with our product and service offerings
  • Proactively identify opportunities to improve the experience of businesses on the Meta family of apps using data science
  • Lead the design, analysis, and interpretation of projects from data requirement gathering to data processing, modeling, and recommendations
  • Partner with crossfunctional teams to identify new opportunities requiring the use of modern analytical and modeling techniques
  • Design and execute experiments (e.g., A/B testing, multi-armed bandit)
  • Effectively communicate insights and recommendations to business leads and influence strategic decision-making
  • Frequently switch between on-the-ground tactical execution and 30k foot strategy

Requirements

  • Master's degree (or foreign equivalent) in statistics, Data Science, Mathematics, or a related field and 6 months of experience in job offered or in a related occupation
  • Requires 6 months of experience involving the following: Machine Learning techniques
  • Relational databases (SQL or PL*SQL)
  • Developing in scripting language: PHP, Python, or Perl
  • Statistical Analysis using R, MATLAB, SPSS, SAS, or Stata
  • Quantitative analysis techniques – clustering, regression, pattern recognition or descriptive and inferential statistics
  • Communicating and presenting results of data analyses

What we offer

  • bonus
  • equity
  • benefits
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