Product Data Scientist, Geo Data Insights and Analytics
Description For Product Data Scientist, Geo Data Insights and Analytics
Google is seeking a Product Data Scientist for their Geo Data Insights and Analytics team. This role focuses on analyzing and improving Maps data products including Maps, Earth, and Local Search. The position involves working with engineering teams to understand data quality, user connections, and the impact of GenAI features. The ideal candidate will have strong analytical skills, experience with statistical analysis, and the ability to translate complex data into actionable insights. This role offers the opportunity to work on cutting-edge geospatial data and AI/ML initiatives at one of the world's leading tech companies. The position requires expertise in statistical analysis, data mining, and programming languages like Python and SQL. You'll be responsible for developing metrics, conducting analysis, and making strategic recommendations that directly impact Google's mapping products and user experience. The role offers the chance to work with advanced technologies and contribute to products used by billions of people globally.
Responsibilities For Product Data Scientist, Geo Data Insights and Analytics
- Support Geo Developer, Consumer and Sustainability ecosystems foundational data and quality initiatives
- Develop new metrics and measurement techniques to generate headroom analysis, goal setting and data-driven strategies
- Apply advanced techniques (e.g., embeddings, novel experiments) to create profiles for classifications, correlation analysis and connection between data quality and user behaviour
- Generate analysis for Vice President (VP) level reviews and in-depth search
- Prioritize and communicate user needs, make recommendations and generate implementation for product or process changes
- Identify and prioritize challenges and strategic growth opportunities
Requirements For Product Data Scientist, Geo Data Insights and Analytics
- Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience
- 1 year of experience with statistical data analysis, data mining, and querying (e.g., SQL)
- Experience working with statistical packages (e.g., Python, R, SAS, Stata, MATLAB, etc.)
- Experience working with multiple teams to bridge qualitative and quantitative insights
- Proficient in complex analyses into data driven narratives
- Excellent written and verbal communication skills
- Interest and aptitude in data, metrics, analysis and trends
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