Data Scientist, Research, Responsible AI, Trust and Safety

Google • Washington, DC

382d • $150,000 - $223,000

About The Position

The Data Scientist role within Google's Trust and Safety team focuses on leveraging data and research to enhance user trust and safety across Google's products. This position involves evaluating and improving products through rigorous analysis, collaborating with a diverse team, and applying statistical methods to understand and mitigate emerging risks, particularly in the context of responsible AI.

Requirements

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

Nice To Haves

• Experience with machine learning (tools, prepare training sets, train classifiers), large language models, predictive modeling, causal inference, statistical data analysis or operations research with SQL and Python.
• Experience using mathematical techniques or statistical tools to find answers and translate results into business recommendations.
• Experience with fraud, security and threat analysis in context of Internet-related products/activities, especially with Generative AI.
• Excellent written and verbal communication skills with ability to self-direct and collaborate with stakeholders.
• Excellent teaching skills, with ability to learn new techniques across offices and time zones.
• Excellent problem-solving and critical thinking skills with attention to detail.

Responsibilities

• Work with large data sets, solve analysis problems and apply advanced problem-solving methods as needed.
• Conduct end-to-end analysis including data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
• Build and prototype analysis pipelines to provide insights.
• Develop understanding of Google data structures and metrics, advocating for changes where needed.
• Interact cross-functionally with a variety of teams.
• Work with engineers to identify opportunities for, design, and assess improvements to Google products.
• Make business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with presentations of findings at multiple stakeholder levels through visual quantitative information displays.
• Research and develop analysis, forecasting, and optimization methods to improve Google's user facing Generative AI products and internal operations.

Benefits

• Health insurance
• 401k
• Paid holidays
• Flexible scheduling
• Professional development
• Tuition reimbursement

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Web Search Portals, Libraries, Archives, and Other Information Services
• Education Level: Master's degree