Minimum qualifications:
- Bachelor'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) (or 5 years of work experience plus a Master's degree).
Preferred qualifications:
- Master'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).
- Experience translating product and business questions into clearly framed investigative projects, extracting and manipulating large datasets, and applying statistical methods.
- Knowledge of data, metrics, analysis, trends, measurement, statistics, and program evaluation, with the ability to solve large, complex problems.
- Ability to present to executives and communicate effectively with highly technical leadership teams.
- Ability to manage multiple assignments simultaneously in a fluid environment.
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 will 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 and 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.
Responsibilities:
- Work with large, complex internal data sets to solve difficult, non-routine analysis problems, applying advanced investigative methods as needed.
- Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
- Work with stakeholders in Product Management, Engineering, and Operation teams to define performance goals, Key Performance Indicators (KPI), and other success measurements.
- Develop, own, and evolve investigative frameworks providing source of truth measures for the organization.
- Conduct deep dives revealing opportunities and risks, enabling the team to understand trends and prioritize resources.
