Product Data Scientist, Google Play, Strategy and Operations

Minimum qualifications:

* Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

* 5 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 3 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.

* Experience in advertising, and ads ranking.

* Experience in marketplace, advertising, or distribution platforms.

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.

Google Play provides apps, games, and digital content services that bring Android devices to life. Play Store is the world’s largest apps distribution platform, which makes it easy for more than 3 billion Android monthly users across 190+ markets worldwide to discover millions of high-quality apps, games, books, and more. We are building and operating a global store connecting our users to amazing developer content. Trust, choice, and delight are core tenets of our strategy. We are constantly innovating at scale and enabling more than 2 million developers to successfully operate their businesses worldwide in a rapidly changing global market; a critical driver of Google’s overall business growth.

Join the Play Strategy and Operations (StratOps) and Analytics team! We work on a variety of testing data science projects to drive product decisions for Play. This team is truly embedded in the product development life-cycle we are thought partners from project ideation to experimentation, and our in-depth analyses consistently help set strategy for the wider area we work on.

Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.

The US base salary range for this full-time position is $138,000-$198,000 + 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

* Perform analysis utilizing relevant tools (e.g., SQL, R, and Python). Help solve problems, narrow down multiple options into the best approach, and take ownership of open-ended ambiguous business problems to reach an optimal solution.

* Partner with Data Scientists, Engineers, Product Managers (PMs), User Experience (UX), and other cross-functional stakeholders to understand user behavior, and design/analyze experiments and drive product insights to improve user experiences.

* Build and prototype analysis and business cases iteratively to provide insights at scale.

* Develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed for product development.

* Influence across teams to align resources and direction.

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 .