Senior Data Scientist - Ranking AI & Analytics

Meta; Boise (ID); On-site; USD 177,000 - 247,000; Full time

Job summary

Meta in Boise, Idaho, is seeking a Data Scientist, Analytics to advance ranking AI for the Ads stack, collaborating with Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others to translate data into actionable product insights.

You will work with large data sets, apply quantitative analysis and experimentation, and help define success metrics to drive product roadmaps and business impact at scale.

Qualifications

• Bachelor's degree in CS/CE or equivalent
• Minimum 6 years analytics experience (4 years with PhD)
• Proficiency in SQL, Python, or R for data analysis

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

Skills

Data analysis

Experimentation

Cross-functional collaboration

Big data handling

Education

Bachelors in CS/CE or equivalent

PhD in relevant field (preferred)

Tools

SQL

Python

R

Job description

Meta in Boise, Idaho, is seeking a Data Scientist, Analytics to advance ranking AI for the Ads stack, collaborating with Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others to translate data into actionable product insights.

You will work with large data sets, apply quantitative analysis and experimentation, and help define success metrics to drive product roadmaps and business impact at scale.