Senior Product Data Scientist, Play Games

Minimum qualifications:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, or equivalent practical experience.
• 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.

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.

The mission of the Google Play Games Multi-platform team is to build and deliver the platforms for discovering, building, and experiencing games on Google Play, extending beyond mobile to other surfaces. The team provides compelling and seamless gaming experiences across multiple platforms.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

• Guide and inform product development through the application of data science methods.
• Work with Software Engineer and Product Manager (PM) on foundational data capture and processing.
• Investigate to decide on design and functionality choices.
• Evaluate and monitor previous changes to identify areas for improvement and inform further product direction.
• Perform analysis utilizing related tools (e.g., SQL, R, Python). Help to solve problems, narrow down multiple options into the approach, and take ownership of open-ended business problems to reach a solution.