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Product Data Scientist, Google Play
Job Description
Minimum qualifications:
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, or equivalent practical experience.
- 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 a Master's degree.
Preferred qualifications:
- Master's degree in Statistics, Machine Learning, Data Science, Economics, or a related quantitative field.
- Experience with developing machine learning models, launch experiments (e.g., A/B Testing), and end-to-end data infrastructure 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 Machine Learning (ML) algorithm performance.
- Experience in identifying opportunities for business/product improvement and defining the success of initiatives.
- Ability to manage problems, with excellent communication and presentation skills to deliver findings of analysis.
About the job
In this role, you will partner with Product Manager (PM), engineer, User Experience (UX) and cross-functional teams to shape the product narrative and build or launch features.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.Responsibilities
- Perform analysis utilizing related tools (e.g., SQL, R, Python). Help solve problems, narrow down multiple options into the best approach, and take ownership of open-ended business problems to reach a solution.
- Build new processes, procedures, methods, tests, and components to anticipate and address future issues.
- Report on Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team. Translate analysis results in business insights or product improvement opportunities.
- Build and prototype analysis and business cases to provide insights. Develop knowledge of Google data structures and metrics. Advocate for changes needed for product development.
- Collaborate across teams to align resources and direction.
Negotiable
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Google
Information Services
> 5000 people
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.