Data Scientist, Product Analytics

Role overview

As a Data Scientist focused on Product Analytics at Meta, you will help shape consumer and business products across the company’s suite of apps, including Facebook, Instagram, Messenger, WhatsApp, and Oculus. The role combines deep analytical thinking, product sense, and technical expertise to uncover insights from one of the largest data environments in the world and use those insights to improve experiences for people and businesses at massive scale.

You will work closely with partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and other teams to tackle important product and business questions. Your work will help guide product strategy, investment choices, and roadmap priorities through data-backed recommendations and measurable outcomes.

Meta also emphasizes growth through a strong analytics community, offering a setting where you can continue building technical depth, influence, and long-term career development.

What you will do

• Use analytical and statistical techniques to work through large, complex datasets and address difficult product questions.
• Apply experimentation, quantitative analysis, data mining, and clear data presentation to support product strategy for products used at global scale.
• Track product success by setting goals, forecasting outcomes, and monitoring core metrics to spot trends and changes in performance.
• Identify high-impact opportunities and areas for improvement, then translate findings into roadmap guidance and practical recommendations.
• Collaborate with Product, Engineering, and cross-functional partners to shape and execute product and investment decisions.

Minimum qualifications

Candidates should have, or be in the process of completing, a Bachelor’s degree in Computer Science, Computer Engineering, a related technical field, Mathematics, Statistics, or an equivalent practical background. The degree must be finished before joining Meta.

Applicants should bring at least 2 years of experience using analytics tools and data querying or scripting languages such as SQL, Python, or R, along with 2 years of experience solving analytical problems through quantitative methods. Experience should include understanding user behavior, product ecosystems, long-term trends, and leading data-driven projects from problem definition through execution, including metrics design, experiment planning, and communicating actionable insights.

Preferred qualifications

• Master’s degree or Ph.D. in a quantitative discipline.
• Experience using AI tools to improve or redesign workflows with measurable gains in efficiency or quality.
• Familiarity with responsible and ethical AI practices, including bias reduction, risk review, and checks for accuracy and quality.
• Ongoing development of AI-related skills such as prompt design, context engineering, agent coordination, and keeping up with emerging AI technologies.

About Meta

Meta develops technologies that help people connect, build communities, and grow businesses. From Facebook’s launch in 2004 to the growth of Messenger, Instagram, and WhatsApp, the company has shaped how billions communicate. Today, Meta is also pushing into immersive experiences such as augmented and virtual reality as part of the next phase of social technology.

Equal opportunity and accommodations

Meta is an equal opportunity employer and makes hiring decisions without regard to protected characteristics such as race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, veteran status, disability, and other legally protected categories. The company also considers qualified applicants with criminal histories where permitted by law and participates in E-Verify in certain locations as required.

Meta may use artificial intelligence and machine learning tools during the hiring process. Candidates who need disability-related accommodations during recruiting can request assistance by contacting accommodations-ext@meta.com.

Compensation and benefits

The base salary range for this role is $119,000 to $173,000 per year, with additional compensation available in the form of bonus, equity, and benefits. Final pay is based on skills, qualifications, experience, and location. Base pay shown here does not include bonus, equity, or sales incentives where applicable. Meta also provides benefits.