Research Data Scientist, Merchant Shopping
GoogleAbout the 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
[https://www.google.com/about/careers/applications/benefits/].
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.
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.
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.
Benefits
- 15% bonus target
- equity
- benefits
Skills mentioned
About Google
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh