Lead Data Scientist, Ranking AI & Ads Analytics

Meta; Juneau (AK); On-site; USD 177,000 - 247,000; Full time

Job summary

Meta is seeking a Data Scientist within Ranking AI, the core ML org in the Monetization group, to advance recommendation systems for ads. You will work across product, engineering, research, data engineering, marketing, and sales to turn data into actionable insights, influence product strategy, and help scale AI-driven solutions that drive revenue and growth.

You will collaborate with partners to prioritize initiatives, design experiments, and communicate findings with clarity, contributing to

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.
• Bachelor's degree in Mathematics, Statistics, or related field; PhD considered advantageous.
• Experience with data querying languages (SQL), scripting (Python), and statistical software (R).

Responsibilities

• Work with large and complex data sets to solve problems using analytical and statistical approaches.
• Apply quantitative analysis, experimentation, data mining, and presentation of data to develop product strategies impacting billions of users and businesses.
• Identify and measure success of product efforts through goal setting, forecasting, and monitoring key metrics.
• Define opportunities to improve the product and drive roadmaps based on insights.
• Collaborate with Product, Engineering, and cross-functional teams to inform and execute product strategy.

Skills

Quantitative analysis

Experimentation

Data storytelling

Statistical methods

Education

Bachelor's in CS/Engineering/related field

Bachelor's in Math/Statistics or related field

Master/PhD in quantitative field

Tools

SQL

Python

R

Job description

Meta is seeking a Data Scientist within Ranking AI, the core ML org in the Monetization group, to advance recommendation systems for ads. You will work across product, engineering, research, data engineering, marketing, and sales to turn data into actionable insights, influence product strategy, and help scale AI-driven solutions that drive revenue and growth.

You will collaborate with partners to prioritize initiatives, design experiments, and communicate findings with clarity, contributing to