Senior Research Data Scientist, Android Tablets
Google - Kraków, Poland
Posted Jun 8, 2026
Benefits
- Parental leave
- 18 weeks From the posting source checked Jun 20, 2026
- Non-birth-parent leave
- 18 weeks From the posting source checked Jun 20, 2026
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Source-linked checked May 7, 2026
- Salary
- Not verified
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Research Data Scientist, Android Tablets Kraków, Poland The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first-party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Poland: zł340000 - zł349000 (PLN) + 15% bonus target + equity + benefits Learn more about benefits at Google . Collaborate with stakeholders in cross-project and team settings to identify and clarify critical business or product questions, providing expert feedback to translate and refine these questions into tractable analyses, evaluation metrics, or rigorous mathematical models. Design and evaluate models to mathematically express and solve defined problems with limited precedent. Leverage specialized knowledge of custom data infrastructure and existing data models to improve product performance. Drive AI product success by owning the end-to-end data science life-cycle for features, measuring and optimizing AI experience impact to ensure Google's innovations deliver tangible user value. Leverage deep knowledge of state-of-the-art ML/statistical approaches and causal inference to expertly develop inference algorithms and estimate user incremental lift. Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 5 years of work experience using analytics to solve product or business problems,
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