Product Data Scientist, Geo Data Insights Scaling

4 days ago

Hyderabad Telangana, India Google Full time

**Minimum qualifications**: - Bachelor's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience. **Preferred qualifications**: - Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. About the job 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. We are a part of the Geo organization, which has the broader mission of: "We power the most helpful, trusted, and innovative digital representation of the real world for the user ecosystems we serve." We work with engineering teams across Geo on a variety of problems related to understanding the quality of the Maps data powering products like Maps, Earth, Local Search and more, the connection between users and data quality, how to grow our ecosystems based on geospatial data and infrastructure, how to scale our state of the art ML/AI efforts, and the impact of GenAI features on Maps users and contributors. **Responsibilities**: - Work with leadership teams to create new analytical solutions to identify, target and track investment shifts, mix-rate estimates and other variables around the value of initiatives to improve Maps data quality. - Perform large-scale data analysis, modeling, time series decomposition, and more to identify opportunities for improvement and measure shifts in Engineering/Operations resource deployments. - Work with large data sets, automate data extraction, build monitoring/reporting dashboards and use state-of-the-art infrastructure to enable scaled self-service analytics. - Prioritize and communicate user needs, make recommendations, and drive implementation for product or process changes. Identify and prioritize top challenges and key strategic growth opportunities. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See alsoGoogle's EEO Policy andEEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing ourAccommodations for Applicants form.

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