Research Data Scientist, Ads Safety and Spam

Google's Ads Privacy and Safety (APaS) Data Science team is seeking a Research Data Scientist to protect users and advertisers from fraud and invalid activity. This role combines data science expertise with fraud detection to ensure a trustworthy ad platform. The position involves working with large datasets, applying statistical analysis, and developing innovative solutions for spam mitigation and anomaly detection.

The role is part of the Analytics and Insights team, which is crucial in maintaining the integrity of Google's advertising platform. You'll be responsible for developing unbiased frameworks to measure business health and deliver impact assessments across key areas including risk, business, and user trust. The work directly influences important decisions through data-driven insights and continuous measurement.

As a Research Data Scientist, you'll leverage advanced analytics and machine learning to solve complex problems in advertising safety and spam detection. You'll work with cross-functional teams, analyze large datasets, and communicate findings to various stakeholders. The role requires expertise in statistical analysis, programming (Python, R, SQL), and experience with big data technologies.

The position offers competitive compensation including a base salary range of $141,000-$202,000, plus bonus, equity, and comprehensive benefits. This is an opportunity to make a significant impact on Google's advertising ecosystem while working with cutting-edge technology and data science methods. The role requires a combination of technical expertise, analytical thinking, and strong communication skills to drive improvements in ad platform safety and user trust.