Senior Data Scientist, Product, Google Photos
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Minimum qualifications:
- Bachelor's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of experience with a PhD degree
Preferred qualifications:
- Experience collaborating with Engineers, Product Managers (especially on product-centric insights)
- Excellent communication/presentation skills.
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 Photos is a photo sharing and storage service developed by Google. Photos is one of the most sought after products at Google and is looking for both client-side (web and mobile), with server-side (search, storage, serving) and machine intelligence (learning, computer vision) Software Engineers. We are dedicated to making Google experiences centered around the user.Responsibilities
- Drive product improvements at Google Photos by collaborating with engineers and product managers to drive product decisions.
- Develop an understanding of the Google Photos product, data and users to address vague and business problems and hypotheses and come up with solutions that improve product and user experience.
- Focus on the Engagement side of the business, ensuring users enjoy features enough to be retained long-term while expanding the scope of features and scaling the team.
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