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[Remote] Data Scientist, Product Analytics

Remote · United Kingdom Full-time

Note: The job is a remote job and is open to candidates in USA. Meta is hiring a Data Scientist to use analytics and data to guide product development and strategy across its family of applications. The role partners with Product, Engineering, and other teams to identify opportunities, measure product outcomes, and inform product and investment decisions.

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 our products that serve billions of people and hundreds of millions of businesses
  • Identify and measure 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 your insights and recommendations
  • Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

Skills

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)
  • Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
  • Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
  • Master's or Ph.D. Degree in a quantitative field
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Benefits

  • Bonus
  • Equity

Company Overview

  • Meta is a social technology company that enables people to connect, find communities, and grow businesses. It was founded in 2004, and is headquartered in Menlo Park, California, USA, with a workforce of 10001+ employees. Its website is https://www.meta.com.
  • Company H1B Sponsorship

  • Meta has a track record of offering H1B sponsorships, with 5145 in 2026, 6419 in 2025, 5944 in 2024, 3874 in 2023, 5237 in 2022, 7 in 2021, 10 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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