About the position
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. As a Data Scientist at Google Photos, you will place work on product improvements, collaborating with engineers and product managers to drive product decisions. You will develop an understanding of the Google Photos product, data and our users! you will take business problems and hypotheses and come up with solutions that improve our product and user experience. You will focus on the Engagement side of our business, making sure that users are enjoying our features enough to be retained long into the future.
Responsibilities
- Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Help solve problems, narrowing down multiple options into the best approach, and take ownership of business problems to reach an optimal solution.
- Build new processes, procedures, methods, tests, and components with foresight 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 to business insights or product improvement opportunities.
- Build and prototype analysis and business cases to provide insights. Develop knowledge of Google data structures and metrics, advocating for changes where needed for product development.
- Influence across teams to align resources and direction.
Requirements
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, 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.
Nice-to-haves
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
- 5 years of experience in statistical data analysis, modeling, experimentation, causal inference for product/business solutions.
- Experience solving unstructured business problems using data science.
- Experience with growth experimentation.
- Excellent communication skills.
Benefits
- The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits.
- Salary ranges are determined by role, level, and location.
- Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
