JobCubby JobCubby
Sign up
Google

Research Data Scientist, Merchant Shopping

Google Mountain View, California, United States · $147K–$210K/yr

Software Development · 10,001+ employees

Yesterday
data-scientist Mid (2-5 yrs) Full-time United States
Log in to apply, save this posting, or score it against your profile with AI.

About the role

Build and maintain scalable data products including self-serve tools and experiment frameworks to drive product development. Conduct in-depth research and provide data-driven insights to improve the Shopping Graph.

What they look for

Python R SQL Data Science Statistics Machine Learning GenAI Data Engineering Software Engineering Product Development Experiment Frameworks Data Analysis Shopping Graph Metrics Attribution

Requirements

Requires a Master's degree or PhD in a quantitative field such as Statistics, Data Science, or Engineering. Candidates must have at least 3 years of experience in analytics, coding, and database querying.

Benefits

Bonus Equity Health Insurance

Full description

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.

Similar roles