Senior Data Scientist, Product, Games, Google Play

Minimum qualifications:

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

Preferred qualifications:

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

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.

• Work across Games Spend and business generation, Developer Success, and Games Ecosystem to further our understanding of the Games business at Play.
• Partner with Games Data Science and Product Strategy team members, Play Games PM, Engineering, PMM, UX and other teams to understand user behavior, design/analyze experiments and drive product insights to improve user experiences.
• Drive operational excellence for the team, building dashboards and datasites in partnership with our BI team based in bengaluru, producing regular metric reports to be consumed by Play Games leadership. Follow engineering best practices to create scalable data pipelines and models.
• Act as thought partner to produce insights and metrics for various technical and business stakeholders.
• Deliver effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.