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Data Scientist, Product Analytics

Job in Des Moines, Polk County, Iowa, 50319, USA
Listing for: Meta
Full Time position
Listed on 2026-01-02
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 145000 - 204000 USD Yearly USD 145000.00 204000.00 YEAR
Job Description & How to Apply Below

Overview

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products across our family of applications (Facebook, Instagram, Messenger, Whats App, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses.

You will collaborate with cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development s biggest challenges, influence product strategy and investment decisions, and focus on impact. You will join a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

Product leadership:
You will use data to shape product development, quantify opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help partner teams prioritize what to build, set goals, and understand their product ecosystem. Analytics:
You will guide teams using data and insights, develop hypotheses, and employ a varied toolkit of analytical approaches to test them. Communication and influence:
You will tell data-driven stories, convince and influence partners with clear insights and recommendations, and build credibility through structure and clarity as a trusted strategic partner.

Responsibilities (Data Scientist, Product Analytics)
  • 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

  • Minimum Qualifications
  • Bachelor s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

  • Bachelor s degree in Mathematics, Statistics, a relevant technical field, or equivalent

  • 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R

  • 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution (including defining metrics, experiment design, and communicating actionable insights)

  • Preferred Qualifications
  • Master s or Ph.D. Degree in a quantitative field

  • Public Compensation: $145,000/year to $204,000/year + bonus + equity + benefits

    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

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