Senior Data Scientist, Analytics & AI (Ranking)

Meta; Helena (MT); On-site; USD 177,000 - 247,000; Full time

Job summary

Meta is seeking a Data Scientist in Ranking AI within the Ads analytics ecosystem. You will collaborate with Product, Engineering, Research, Data Engineering, Marketing, Sales and Finance to translate data into insights that guide product strategy and investment decisions.

You will analyze large, complex data sets using SQL, Python, and R, develop hypotheses, test them with rigorous methods, and present data-driven recommendations that drive impact across billions of users and advertisers.

Qualifications

• Experience with SQL querying and data manipulation.
• Proficiency in Python for data analysis and modeling.
• Familiarity with R or similar statistical software.

Responsibilities

• Work with large, complex datasets to solve a wide array of challenging problems using different analytical and statistical 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

SQL

Python

R

Education

Bachelor's degree in Computer Science or related field

Bachelor's degree in Mathematics or Statistics or related field

Master's or Ph.D. in quantitative field

Job description

Meta is seeking a Data Scientist in Ranking AI within the Ads analytics ecosystem. You will collaborate with Product, Engineering, Research, Data Engineering, Marketing, Sales and Finance to translate data into insights that guide product strategy and investment decisions.

You will analyze large, complex data sets using SQL, Python, and R, develop hypotheses, test them with rigorous methods, and present data-driven recommendations that drive impact across billions of users and advertisers.