Google
Mountain View, California
Research Data Scientist, Merchant Shopping
We tailor your resume to this role and apply for you in seconds.
Apply to Research Data Scientist, Merchant Shopping at GoogleJob details
- Location
- Mountain View, California
- Work type
- Onsite
- Compensation
- $147,000 - $210,000/yr
- Posted
- 4 days ago
- Apply on
- careers.google.com
About this role
Minimum qualifications:
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
Preferred qualifications:
- 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 a PhD degree.
About the job
The Merchant Data Science team is a group of data scientists (US, London, Zurich) within the Merchant Shopping Organization. We work on building scalable data products that empower data-driven decision-making.
We are looking for a passionate, engineering-minded Data Scientist who is eager to innovate on data science using genAI tools and build durable, impactful data products.
In this role, you will need to be a full-stack expert who can bridge the gap between software engineering, data engineering, and data science.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Build innovative data products like self-serve tools, experiment frameworks, autorater and human evaluations.
- Operate and contribute towards building a data science team that has engineering style work quality.
- Provide data-driven perspectives on product direction and opportunities. Define, track, and analyze key metrics and attribution mechanisms to guide product development.
- Conduct in-depth research and analyses to identify the most significant opportunities for improving the Shopping Graph.
- Communicate complex findings and recommendations clearly and effectively.
Ready to apply to Google?
We tailor your resume to this role and apply for you.