Product Analytics Scientist — Data-Driven Impact

Meta; Providence (RI); On-site; USD 147,000 - 208,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta is seeking a Data Scientist to shape the future of our data-rich products across its family of apps. You will work with large datasets, apply advanced analytics, and partner with Product, Engineering, and cross-functional teams to influence strategy and investments.

You will build hypotheses, conduct experiments, and translate data into actionable insights with a focus on impact for billions of users and hundreds of millions of businesses.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Statistics, or equivalent practical experience.
• 4+ years of analytics experience with SQL, Python, and/or R.

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 presentation of data to develop strategies for products serving billions of people.
• 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 insights and recommendations.
• Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Skills

SQL

Python

R

Data analysis

Experimentation

Education

Bachelor's degree in CS/Math/Stats

Job description

Meta is seeking a Data Scientist to shape the future of our data-rich products across its family of apps. You will work with large datasets, apply advanced analytics, and partner with Product, Engineering, and cross-functional teams to influence strategy and investments.

You will build hypotheses, conduct experiments, and translate data into actionable insights with a focus on impact for billions of users and hundreds of millions of businesses.