Senior Data Scientist, Product, Play Store and Ads

Minimum Qualifications:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of experience with a Master's degree.

Preferred Qualifications:

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).

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.

Google Play offers music, movies, books, apps and games for devices, powered by the cloud. It syncs across devices and on the web. As part of the Android and Mobile team, Googlers working on Google Play do everything from engineering our backend systems, to shaping product strategy, to forming great content partnerships. They make it possible for people to do things like buy an ebook or song on their Android phone, then have it instantly available on their laptop. The Google Play team enhances the Android ecosystem by giving developers and partners a premium store where they can reach millions of users.

Responsibilities

• Conduct analyses of large datasets to understand user behavior, app/game discovery patterns, and the impact of features and ads within the Play Store.
• Design, implement, and analyze sophisticated A/B experiments for new Play Store features, UI changes, personalization algorithms, and ad formats/placements.
• Define appropriate metrics, success criteria, and guardrails, considering the trade-offs between user experience, developer success, and advertiser value.
• Provide clear recommendations based on experiment results, including statistical significance and practical implications.
• Apply statistical methods and machine learning techniques to build models for personalization, recommendations, user segmentation, lifetime value prediction, or auction optimization, as relevant to the team's goals.