Staff Product Data Scientist, Google Labs

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

Job summary

Google Labs seeks a Staff Product Data Scientist to advance data-driven product decisions within the Labs Data Science team. This role partners with Product Managers and Engineers to analyze growth, quality, and user metrics, delivering insights that shape product direction.

You will build reusable analytics tools, dashboards, and pipelines, translate complex analyses into business recommendations, and communicate findings to executives and cross-functional teams.

Qualifications

• 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (Python, R, SQL).
• 8 years of work experience with a Master's degree (preferred).

Responsibilities

• Growth and funnel analysis across Labs products.
• Quality evaluation and metric development for auto‑raters and eval sets.
• Top-line metrics development and user insights.
• Develop scalable analytical tools like dashboards and pipelines.
• Communicate actionable results to product teams to influence direction.

Skills

Python

R

SQL

Education

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field

Job description

Staff Product Data Scientist, Google Labs

Share Staff Product Data Scientist, Google Labs

corporate_fare Google place Mountain View, CA, USA

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

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 and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.