Senior Staff Data Scientist, Product

About the role

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

[https://www.google.com/about/careers/applications/benefits/].

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.