Data Research Scientist, Trust and Safety

Google • Washington D.C., DC

9d

About The Position

Trust and Safety is Google’s team of abuse fighting and user trust experts working to make the internet a safer place. A multiple team of analysts, policy specialists, technical experts, and program managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages. Within the Trust and Safety organization, data science and analytics is part of the insights and UX teams that leverage the power of data and deep research to deliver actionable insights to inform decision-making, drive operational excellence and foster user trust in Google products. We use data science to empower abuse fighting at scale and partner across Google products and services across our pillars of measurement and quantification, forecasting and operational optimization and generative AI and text analysis. As a Data Scientist in Trust and Safety, you will evaluate and improve Google's products for users through well reasoned research and analysis. You will understand and quantify how far the source can be trusted, apply critical thinking to the data, and think through the impact on a macro scale. You will understand emerging risks with specific focus on responsible AI, testing standards and red teaming. You will also have the opportunity to drive impact in a various range of issues ranging from measuring quality, developing abuse metrics, and optimizing content moderation workflows, operational systems and abuse protections with data driven focus.

Requirements

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

Nice To Haves

• 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

Responsibilities

• Work with large, complex data sets.
• Solve difficult, non-routine analysis problems, applying advanced problem-solving methods as needed.
• Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
• Build and prototype analysis pipelines iteratively to provide insights at scale.
• Develop comprehensive understanding of Google data structures and metrics, advocating for changes where needed for both product development and business activity.
• Interact cross-functionally with a wide variety of people and teams.
• Work closely with engineers to identify opportunities for design, and assess improvements to Google products.
• Make business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
• Research and develop analysis, forecasting, and optimization methods to improve the process and quality of Google's content moderation operation.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees