Product Data Scientist, Geo Abuse and Risk

Google is seeking a Product Data Scientist for the Geo Data Insights and Analytics (GDIA) Abuse and Risk team. This role focuses on estimating rare event prevalence using sampling and advanced statistical techniques to keep maps safe from bad actors while delivering a great contributor experience. The ideal candidate will work on complex sampling algorithm development, use Gen AI and similarity-based clustering for content moderation, and build robust data pipelines. They will perform large-scale data analysis, statistical modeling, and inferential ML to identify improvement opportunities and measure initiative impacts.

Key responsibilities include:

1. Performing large-scale data analysis and statistical modeling
2. Developing complex sampling algorithms for rare events
3. Utilizing Gen AI and clustering techniques for content moderation
4. Building robust data pipelines and monitoring dashboards
5. Prioritizing user needs and driving product/process changes

The role requires a Master's degree in a quantitative field, 3 years of experience with statistical data analysis and data mining, and 1 year of experience managing analytical projects. Preferred qualifications include 5 years of work experience in analysis applications and coding (Python, R, SQL), excellent problem-solving skills, and the ability to translate analysis results into actionable business recommendations.

Join Google's engineering-driven culture and make an impact on users worldwide while working with cutting-edge technologies and tackling significant challenges in data science and analytics.