Staff Product Data Scientist, Google Labs

Google; Mountain View (CA); On-site; USD 192,000 - 278,000; Full time

Job summary

Google Labs is seeking a data science professional to join the Data Science team within Labs. You will partner with product managers and engineers to perform and communicate analyses that influence product direction and drive data-driven decisions.

The role focuses on growth analysis, quality evaluation, and development of dashboards and metrics across Labs products, delivering actionable insights to senior leadership.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 8 years work experience with a Master's degree.
• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
• 2 years of work experience (e.g., as a statistician, data scientist, or product analyst), including statistical data analysis such as linear models, multivariate analysis, causal inference, and sampling methods.
• Experience articulating business questions and using mathematical techniques to arrive at an answer using available data.
• Experience translating analysis results into business recommendations.

Responsibilities

• Learn more about benefits at Google .
• Work with large, complex data sets. Solve difficult, non‑routine analysis problems, applying advanced analytical methods as needed.
• Conduct end‑to‑end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
• Share/present analysis to organization executives in order to share insights and influence product direction.
• 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 products development and sales activity.

Skills

Python

R

SQL

Statistics

Education

Bachelor's degree in quantitative field

Master's degree in quantitative field

Job description

In most instances, this position requires in‑person interviews as part of the hiring process.

Minimum qualifications

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 8 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.
• 12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
• 2 years of work experience (e.g., as a statistician, data scientist, or product analyst), including statistical data analysis such as linear models, multivariate analysis, causal inference, and sampling methods.
• Experience articulating business questions and using mathematical techniques to arrive at an answer using available data.
• Experience translating analysis results into business recommendations.

About The Job

Google Labs exists to discover and deliver new products that advance Google’s mission. Labs builds innovative new products and gets them into the hands of users as quickly as possible. The Labs team also runs labs.google , a place where you can try and co‑create with Google's latest AI. We co‑create with internal and external teams to showcase their bold and responsible ideas, so we can all shape the future of technology together (see go/labs).

For this role, you will be joining the Data Science team within Labs. The Labs Data Science team is a horizontal team, and we help the broader Labs team with metrics, experimentation, evaluation, insights, and data‑driven decision making.

The Labs Data Science team is a horizontal team that supports quality evaluation, growth analysis, and data‑driven decision making across the portfolio of Labs products. In this role, you will work closely with Labs product teams (Product Managers, Engineers, and cross‑functional partners) on selected analysis projects. Example projects include growth and funnel analysis, quality evaluation (autoraters, metrics, eval set development), top‑line metrics development, and user insights. You will work with these teams to develop scalable analytical tools (dashboards, metrics, pipelines), and also to communicate actionable results to the product teams to help influence product direction.

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

US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Work with large, complex data sets. Solve difficult, non‑routine analysis problems, applying advanced analytical methods as needed.
• Conduct end‑to‑end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
• Share/present analysis to organization executives in order to share insights and influence product direction.
• 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 products development and sales activity.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .