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Senior Product Data Scientist, Google Shopping
H1B ✓On-sitesenior levelPosted April 7, 2026
About the Role
You will provide data-driven insights to guide product direction and build innovative data products like self-serve tools and experimentation frameworks. The role involves identifying opportunities to improve the Shopping Graph and managing projects from conception to impact.
Requirements
Candidates must have a bachelor's degree in a quantitative field and at least 8 years of relevant work experience, or a master's degree with 5 years of experience. Proficiency in statistical analysis and coding languages such as Python, R, and SQL is required.
Full Job Description
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).
About the job:
In this role, you will be a passionate, engineering-minded Data Scientist who is eager to innovate data science using GenAI tools and build data products. You will be a full-stack expert who can bridge the gap between software engineering, data engineering, and data science.
The US base salary range for this full-time position is $163,000-$237,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities:
Provide data-driven perspectives on product direction and opportunities. Define, track, and analyze key metrics and attribution mechanisms to guide product development.
Conduct analyses to identify the significant opportunities for improving the Shopping Graph. Identify and advocate novel and innovative data science approaches.
Communicate complex findings and recommendations. Operate with a high degree of autonomy, managing projects from conception to impact. Contribute towards building a data science team that has engineering style work quality.
Build innovative data products, including self-serve tools, experimentation frameworks, automated rating systems, and human evaluation platforms.
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).
About the job:
In this role, you will be a passionate, engineering-minded Data Scientist who is eager to innovate data science using GenAI tools and build data products. You will be a full-stack expert who can bridge the gap between software engineering, data engineering, and data science.
The US base salary range for this full-time position is $163,000-$237,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities:
Provide data-driven perspectives on product direction and opportunities. Define, track, and analyze key metrics and attribution mechanisms to guide product development.
Conduct analyses to identify the significant opportunities for improving the Shopping Graph. Identify and advocate novel and innovative data science approaches.
Communicate complex findings and recommendations. Operate with a high degree of autonomy, managing projects from conception to impact. Contribute towards building a data science team that has engineering style work quality.
Build innovative data products, including self-serve tools, experimentation frameworks, automated rating systems, and human evaluation platforms.