Product Data Scientist, Play Data Science and Analytics
Job Description
Minimum qualifications:
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 5 years of experience with an advanced degree.
Preferred qualifications:
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- Experience with developing machine learning models (e.g., supervised and unsupervised), launch experiments (e.g., A/B Testing), and data infra and analytics pipelines.
- Experience in developing new models, methods, analysis and approaches.
- Experience with classification and regression, prediction and inferential tasks, training/validation criteria for ML algorithm performance.
- Experience in identifying opportunities for business/product improvement and defining/measuring the success of those initiatives.
- Experience with engineers and product managers around providing product insights.
About the job
As a Product Data Scientist, you will be working with multiple stakeholders across play to define metrics and deliver insightful data and analysis. 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. The principal goal of your analyses will be to guide better product and business decisions. You will be responsible for translating data into meaningful interpretations and recommendations and, where relevant, implement process improvements. The metrics and analyses you develop will serve as a key input in product development and operations decision-making. You will work collaboratively across Play teams (e.g., engineering (Eng), product management (PM), UX and commercial operations) as well as other product teams within Google and cross-functional teams such as legal, finance and marketing teams.
Google Play offers music, movies, books, apps and games for devices, powered by the cloud. It syncs across devices and on the web. As part of the Android and Mobile team, Googlers working on Google Play do everything from engineering our backend systems, to shaping product strategy, to forming great content partnerships. They make it possible for people to do things like buy an ebook or song on their Android phone, then have it instantly available on their laptop. The Google Play team enhances the Android ecosystem by giving developers and partners a premium store where they can reach millions of users.
Responsibilities
- Guide analysis for play, focusing on product features and user experience, with the primary goal of optimizing our purchase flow and experience.
- Partner with product management, engineering, and other Play teams to provide data feed, experiment design and product insights that will improve performance, and ensure proper logging and metrics are available for performance measurement.
- Act as thought partner to produce insights and metrics for various technical and business stakeholders across play.
- Deliver effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
- Develop framework and build views to measure product success and provide insights at scale.
About us
Google’s mission is to organize the world‘s information and make it universally accessible and useful.
Since our founding in 1998, Google has grown by leaps and bounds. From offering search in a single language we now offer dozens of products and services—including various forms of advertising and web applications for all kinds of tasks—in scores of languages. And starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. A lot has changed since the first Google search engine appeared. But some things haven’t changed: our dedication to our users and our belief in the possibilities of the Internet itself.