- 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.
- 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.
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.
- Synthesize complex insights across key domains (payments/FOP performance and retailing/ buyer activations) to shape product roadmaps, optimize purchase flows, and identify high-value opportunities.
- Define product success metrics, design advanced experimentation frameworks, and build scalable measurement views to ensure robust data integrity and proper logging.
- Direct and mentor a team of 5 Product Data Scientists, managing team roadmaps, resource allocation, and technical execution aligned with long-term goals.
- Partner with local Play BI, Play Apps and Games teams counterparts to foster a thriving local Data Science and Analytics community.
- Act as a critical thought partner to Product Management, Engineering, and Strategy teams, translating quantitative findings into actionable features and performance-measurement standards.
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 also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
