Minimum qualifications:
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 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 jobGoogle Play provides Apps, Games, and Digital content services that bring Android devices to life. It is a Google approach to entertainment, syncing magically across your devices and the web.
In this role, you will be working on Google Play to do everything from engineering our back-end systems, to shaping the product strategy, to forming great content partnerships. You will make it possible for people to do things like buy a game or ebook on their Android phone, then have it instantly available on their laptop.
The Play Store serves over two billion users around the world, and is a critical driver of Google’s overall business growth.
The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities
- Partner with Program Managers, Engineering, and other Play teams to provide methodological excellence, data insights and tools that reduce risk and improve developer and user experience on Play.
- Research and help develop ML models, establishing evaluation criteria, and monitoring performance to combat fraudster adaptations.
- Support the product team to research and understand abusive behavior patterns, and be a thought partner to produce insights for technical and business stakeholders across Play.
- Ensure proper logging and metrics are available for performance measurement, and drive analysis focusing on product features and user experience across Play business generation.
- Work to develop frameworks to measure product success and provide insights at scale, and sharing recommendations to multiple levels of leadership, creating effective displays of quantitative information to aid decision making.
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 .
