Senior Staff Data Scientist, Product

Google; San Francisco (CA); On-site; USD 240,000 - 333,000; Full time

Job summary

Google in San Francisco is seeking a Data Scientist to support Google's worldwide user base. You will apply quantitative analysis to partner projects, weave stories from data, and advise Engineering and Product Management with actionable insights.

The role emphasizes turning numbers into decisions, building models, and presenting findings to stakeholders. Individual pay is determined by skills and education, with opportunities across Google products from Ads to YouTube.

Qualifications

• Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Data Science, Engineering, Physics, Economics).
• 13 years of work experience with analytics, statistics, and coding (or 10 years with a Master's).

Responsibilities

• Perform analysis using SQL, R, Python; direct projects toward actionable decisions.
• Own end-to-end projects: problem definition, metrics, data manipulation, visualization, models, and presenting to stakeholders.
• Tackle ambiguous problems by leveraging existing systems and turning them into team work.
• Coordinate cross-functional and cross-organizational project timelines; drive improvements and define goals.
• Provide direction by leading and impacting others' contributions.

Skills

Python

R

SQL

Statistics

Analytics

Education

Bachelor's degree

Master's degree

Job description

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; San Francisco, CA, USA.

Minimum qualifications

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 13 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 10 years 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.
• 15 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).

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 is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $240000 - $333000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Direct projects that combine analytical and organizational complexity towards clear, sound, and actionable decisions.
• Own projects end-to-end, covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of analytical/statistical models, and presentation to stakeholders.
• Address ambiguous or new problems by using the capabilities of existing systems and collaborate to turn broad problems into work for the team.
• Oversee the integration of cross-functional and cross-organizational project/process timelines, drive improvements and recommendations, and define operational goals and objectives.
• Provide direction and accomplish results through leading/impacting the contributions of others.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .