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Data Scientist - Product Analytics

Meta

$229,450 - $235,400
Sep 16, 2025
Menlo Park, CA, USA
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Meta Platforms, Inc. is looking to solve the problem of understanding how users interact with their consumer and business products, and to develop strategies for their products that serve billions of people and hundreds of millions of businesses.

Requirements

  • Performing quantitative analysis including data mining on highly complex data sets
  • Data querying language: SQL
  • Scripting language: Python
  • Statistical or mathematical software including one of the following: R, SAS, or Matlab
  • Applied statistics or experimentation, such as A/B testing, in an industry setting
  • Machine learning techniques
  • ETL (Extract, Transform, Load) processes

Responsibilities

  • Applying expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer and business products.
  • Mine massive amounts of data and perform large-scale data analysis to extract useful business insights.
  • Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior.
  • Build models of user behaviors for analysis or to power production systems.
  • Design and implement dashboards and reports that track key business metrics and provide actionable insights.
  • 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 our products that serve billions of people and hundreds of millions of businesses.

Other

  • Requires a Master's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 3 years of work experience in the job offered or in a computer-related occupation
  • 2 years of experience in a related field
  • Individual compensation is determined by skills, qualifications, experience, and location
  • Must be eligible to work in the United States
  • Meta is an Equal Employment Opportunity employer