This role has closed 3w ago. It is no longer on Google's board, so there is nothing left to apply to. The posting is kept here because you saved it or opened it; it is a record, not an offer.
Verified from career page · Posted 3w ago
- Posted
- 3w ago
- Workplace
- Not specified
- Salary
- Not disclosed
- Visa sponsorship
- Not specified
Posted on 3 September 2026
Work model not stated
Salary range not shared by the company
Visa sponsorship details unknown
This role has closed 3w ago ago. It's kept as a record — see Google's open roles or the similar live roles below.
See Google's open rolesHelp serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
Automate data extraction from extensive geospatial datasets to build comprehensive reporting and monitoring dashboards that track business health.
Conduct large-scale data modeling and analysis to discover strategic improvement opportunities and accurately evaluate initiative impact.
Design and develop statistical methodologies to evaluate data quality while performing thorough root cause analysis on failure cases.
Present data-driven findings and insights to key stakeholders in regular syncs, making strategic recommendations to guide product or process enhancements.
Identify and prioritize high-impact growth opportunities and critical operational challenges, delivering execution and noticeable improvements based on continuous feedback.
Minimum qualifications:
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 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.
5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).
1 year of experience with AI Algorithms.
About Google
Google runs core product engineering out of London, Dublin, Zurich, Warsaw and Munich — not support functions. Zurich is one of its largest engineering sites anywhere, and Warsaw has grown substantially. The bar is high and the process is long, but these are genuine product teams.