Point your AI agent at freehire and let it find you a job.

Get the CLI →

Google

Senior Product Data Scientist, Discover Experience

Posted 5 views
Discussion

Summary

Senior data scientist on Google's Discover feed (500M+ daily users, part of Search) shaping data-informed product strategy: designing and analyzing experiments, defining launch criteria, and running exploratory user-behavior analysis with PM, engineering, UXR, and design. Core tools: Python, R, SQL, statistical analysis.

From the beginning, Google's mission has been to organize the world’s information and make it universally accessible and useful, and we consider it a privilege to be able to help. As technology continues to evolve, our commitment remains to help users in their journey to connect to helpful information more easily, leveraging technology to find new ways to satisfy users’ information needs.

Discover is a personalized feed that provides users with relevant and meaningful information based on their interests and our knowledge of the world’s information, and is part of the broader Search organization at Google. Today, Discover is one of the world’s largest feed products, with more than 500M daily active users. Our mission is to make it effortless for people to catch up on their interests by bringing together informative, entertaining content.

Our role in Discover Data Science is to advance that mission with a data-informed strategy, identifying opportunities and accelerating execution. The Discover Feed Experiences team owns the user-facing (non-ranking) elements of the Discover product including experience, growth, AI integration into feed and more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.
  • Conduct analysis and define launch criteria for important launches, designing, implementing, and analyzing experiments to measure the impact of new features and product changes, ensuring we make data-driven decision.
  • Drive exploratory analysis and user understanding, user behavior patterns, and identifying, sizing and articulating new opportunities for Discover.
  • Work with cross-functional teams (Product Management, Engineering, UXR, Design) on launch analysis, product iteration, and impact quantification.

Minimum qualifications:

  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience with a Master's degree).

Preferred qualifications:

  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
  • Excellent communication skills, especially in communicating technical and statistical concepts clearly and concisely among audiences across different levels.
  • Excellent problem-framing, problem-solving and team collaboration skills.

Skills

What Senior Data Science jobs ask for — and how much of it you have →
Apply

See also

Data Science jobs by country — openings, pay and top skills →

Tailor your CV for this role?

We couldn't check your fit for this role — add a CV to your profile to see it next time.

A new version of freehire is available