Data Scientist, Product Analytics

Meta

United States

Hybrid

USD 119,000 - 173,000

Full time

14 days+

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Job summary

Meta is seeking a Data Scientist to help shape both people-facing and business-facing products across its family of apps. You will work with cross-functional partners to apply analytics, experiment design, and data-driven insights to guide product strategy and investments that impact billions of users and millions of businesses.

You will analyze large datasets, define metrics, and communicate actionable insights to influence roadmaps and success across multiple teams in a fast-paced environment.

Qualifications

  • Bachelor's degree completed prior to joining Meta.
  • Bachelor's degree in Mathematics, Statistics, or a relevant technical field.

Responsibilities

  • Work with large and complex data sets to solve a wide array of challenging problems using analytical and statistical approaches.
  • Apply technical expertise with quantitative analysis, experimentation, data mining, and presentation to develop strategies that serve billions of people and hundreds of millions of businesses.
  • Identify and measure success of product efforts through goal setting, forecasting, and monitoring key product metrics.

Skills

SQL
Python
R

Education

Bachelors in CS/CE/Math/Stats
Advanced degree in quantitative field (MS/PhD)

Job description

Overview

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, 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 around the world. You will collaborate on a wide array of product and business problems with a wide-range of 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. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

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
Minimum Qualifications
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
  • 2+ years of work experience in analytics and data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
  • 2+ 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, communicating actionable insights]
Preferred Qualifications
  • Master's or Ph.D. Degree in a quantitative field
About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

EEO Statement

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 accommodations-ext@meta.com.

Compensation

$119,000/year to $173,000/year + bonus + equity + benefits.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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