Data Scientist, Research
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Minimum qualifications:
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
Preferred qualifications:
- Experience in developing applications or agents with Large Language Models (LLMs).
- Ability to prioritize projects and communicate effectively with stakeholders across engineering, product, and UX research teams.
About the job
The Core Ranking Data Science team generates product insights, including those derived from direct user feedback, and develops and supports evaluation methodology and metrics to guide and assess Search Quality models and the overall product. Our mission is to drive product excellence, and user and ecosystem growth for Search with data insights. We work with engineers, researchers, and product managers within and outside of Search to bring helpful and trustworthy content to Search users.
Responsibilities
- Design and develop AI agents to automate and scale data science workflows, including A/B test analysis, evaluation, insights generation, and metric development.
- Design and implement metrics to evaluate AI agent performance, quality, and reliability. Analyze in-product experiments (e.g., side-by-sides) to assess the user experience of AI-powered features.
- Research, adapt, and apply techniques in LLMs, and Gen AI agents to create innovative solutions for Search Data Science.
- Collaborate cross-functionally with engineering, research, and product teams to define agent requirements, plan and execute in-product side-by-side experiments, and drive data-informed product improvements.
- Communicate findings, agent capabilities, and experiment outcomes to stakeholders.
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