Data Scientist, Product Analytics — Drive Global Impact

Meta; New York (NY); On-site; USD 177,000 - 247,000; Full time

Job summary

Meta hires a Data Scientist for Product Analytics to shape strategies using large, complex data sets across Facebook, Instagram, Messenger, WhatsApp, and more. You will influence product investments, forecast metrics, and partner with Product, Engineering, and cross-functional teams to drive data-informed decisions.

This role emphasizes rigorous analytics, hypothesis testing, and ethical AI practices to ensure measurable impact at scale in a dynamic tech environment.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.
• A minimum of 6 years of analytics experience (4+ years with a Ph.D.).
• Bachelor's degree in Mathematics, Statistics, or a related technical field.
• Experience with SQL querying, Python scripting, and/or R.

Responsibilities

• Work with large and complex data sets to solve challenging problems using analytical approaches.
• Apply 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

Data storytelling

Communication

Education

Bachelor's in CS/CE/related field

Bachelor's in Mathematics/Statistics

Master's or Ph.D. in quantitative field

Tools

SQL

Python

R

Job description

Meta hires a Data Scientist for Product Analytics to shape strategies using large, complex data sets across Facebook, Instagram, Messenger, WhatsApp, and more. You will influence product investments, forecast metrics, and partner with Product, Engineering, and cross-functional teams to drive data-informed decisions.

This role emphasizes rigorous analytics, hypothesis testing, and ethical AI practices to ensure measurable impact at scale in a dynamic tech environment.