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

Google

Data Scientist III, Product

Google · Google

Zurich

Mid-level

Machine learningPythonSQL

Last seen 3w ago

Posted
3w ago

Posted on 3 September 2026

Workplace
Not specified

Work model not stated

Salary
Not disclosed

Salary range not shared by the company

Visa sponsorship
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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 roles

Help 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.

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