Product Data Scientist Manager, Play Monetization
Google Play provides apps, games, and digital content services that bring Android devices to life. The Play Store serves over four billion users around the world, and is a critical driver of Google’s overall business growth.
As the Play Data Science and Analytics team, we work on a variety of challenging data science projects to drive product decisions for Play. This team is truly embedded in the product development lifecycle: we're thought partners from strategy shaping and project ideation to experimentation and launches.
The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
Minimum qualifications:
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 8 years of experience with a Master's degree.
- 3 years of experience as a people manager within a technical leadership role.
Preferred qualifications:
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 4 years of experience as a people manager within a technical leadership role.
- Experience with developing machine learning models (supervised and unsupervised), launch experiments (A/B Testing), and end-to-end data infra and analytics pipelines.
- Experience in developing new models, methods, analysis and approaches, and with classification and regression, prediction and inferential tasks, training/validation criteria for ML algorithm performance.
- Prior business knowledge and understanding of monetization.