Product Data Scientist, Android
Listed on 2026-08-02
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IT/Tech
Data Analyst, Data Scientist, Data Science Manager
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).
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- Experience solving unstructured business problems with data science, translating results into impactful business recommendations, and measuring the success of those initiatives.
Android is Google’s mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer.
We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world.
US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google [].
RESPONSIBILITIES:- Perform analysis by utilizing relevant tools (e.g., SQL, R, Python). Use comprehensive technical knowledge, custom data infrastructure or existing data models.
- Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, and validate data to ensure quality.
- Report Key Performance Indicators (KPIs) to support business reviews with a cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities.
- Provide investigative insights and recommendations to influence product feature development decisions, and with some guidance.
- Build and prototype analysis and business cases iteratively to provide insights elop comprehensive knowledge of Google data structures and metrics.
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