Product Data Scientist, YouTube Search and Viewer AI

On Site Full TimeCalifornia, United StatesGoogle

Role Overview

The role joins a growing team of the LLM revolution, working on projects that range from analyzing experiments to improving foundational search systems. The team is looking for someone flexible and comfortable working in a changing environment.

What You Will Do

Collaborate with stakeholders to identify and clarify business or product questions, design and evaluate models to mathematically express and solve defined problems, gather and compile data across sources, and provide feedback to translate and refine business questions into analysis.

Why It Might Be a Fit

The role is suitable for someone with experience in machine learning, experiment design principles, and recommender systems, who is comfortable working in a changing environment and has a strong quantitative background.

Requirements

  • Bachelor’s degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering or a related quantitative field
  • 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
  • Experience with machine learning and experiment design principles
  • Experience with recommender systems

Benefits

  • 15% bonus target
  • equity
  • benefits

To apply for this job please visit www.google.com.

Tired of manual job applications?

JobCopilot auto-applies to thousands of RevOps and GTM roles on your behalf — so you can focus on interviews, not applications.

RevOps Careers Favicon

Get the latest RevOps jobs every Monday.

No noise. Just the best GTM roles, curated weekly.

We don’t spam! Read our privacy policy for more info.

Applying for this role?

Tailor your resume to this exact role — hiring managers notice the difference.

Latest articles on the blog

RECRUITERS!

Reduce the risk of your recruitment process (applicant quality, long and inefficient process) by selecting from a relevant pool of candidates.

POST A NEW JOB NOW!