Data Scientist Product, Google One, Photos
Google
Full-time
On-site
Minimum qualifications:
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, or equivalent practical experience.
- 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., 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.
- Experience in partnering on cross-functional projects or teams with technical and non-technical stakeholders.
- Excellent problem solving, analysis skills and business judgment, with the ability to identify business problems and provide investigative solutions.
- Excellent project management and planning skills with the ability to manage multiple priorities at the same time.
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
- Perform analysis by utilizing related tools (e.g., SQL, R, Python). Use technical knowledge and custom data infrastructure or existing data models.
- Build and prototype analysis and business cases to provide insights.
- Support the Google one product roadmap. Partner with Product Manager (PM), Engineers and other folks in Analytics to understand the profile of Google One business. Use data to evaluate how the business is evolving and drive decisions based on the insights.
- Identify business problems and come up with investigative solutions that improve the product and user experience, spanning Google One and its cross-product areas. Help the cross-functional business partner.