Data Scientist, Research, Consumer Shopping

Minimum qualifications:

• Master'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 3 years of work experience with a PhD degree.
  

Preferred qualifications:

• 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree
  
• Proven project, team, and communication skills.
  
  

About the job

Google Shopping is a comprehensive product search engine, a fast-growing product ads business, and an everyday essentials marketplace. We aim to revolutionize shopping by building great end-to-end user experiences that bring users, retailers, and manufacturers together. The Consumer Shopping Data Science team works on Shopping products on various surfaces including AI Mode and Gemini.

As a Data Scientist in the Consumer Shopping organization, you will evaluate and improve Google's Shopping products. You will collaborate with a multidisciplinary team of engineers and PMs on a wide range of problems. You will bring analytical accuracy and statistical methods to the challenges of measuring quality, improving consumer products, and understanding the behavior of our end-users, merchants, and partners. You will develop, organize, and launch experiments and projects across Engineering and Product teams.

The US base salary range for this full-time position is $166,000-$244,000 + 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.

As a Data Scientist in the Consumer Shopping organization, you will evaluate and improve Google's Shopping products. You will collaborate with a multidisciplinary team of engineers and PMs on a wide range of problems. You will bring analytical accuracy and statistical methods to the challenges of measuring quality, improving consumer products, and understanding the behavior of our end-users, merchants, and partners. You will develop, organize, and launch experiments and projects across Engineering and Product teams.

As a Data Scientist in the Consumer Shopping organization, you will evaluate and improve Google's Shopping products. You will collaborate with a multidisciplinary team of engineers and PMs on a wide range of problems. You will bring analytical accuracy and statistical methods to the challenges of measuring quality, improving consumer products, and understanding the behavior of our end-users, merchants, and partners. You will develop, organize, and launch experiments and projects across Engineering and Product teams.

As a Data Scientist in the Consumer Shopping organization, you will evaluate and improve Google's Shopping products. You will collaborate with a multidisciplinary team of engineers and PMs on a wide range of problems. You will bring analytical accuracy and statistical methods to the challenges of measuring quality, improving consumer products, and understanding the behavior of our end-users, merchants, and partners. You will develop, organize, and launch experiments and projects across Engineering and Product teams.

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

• Work with large, complex data sets and solve difficult, non-routine analysis problems. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations.
  
• 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 product development and sales activity.
  
• Interact cross-functionally with a wide variety of leaders and teams, and work closely with Engineers and Product Managers to identify opportunities for design and to assess improvements for Google products.