Senior Staff Data Scientist, Product

Note : By applying to this position you will have an opportunity to share your preferred working location from the following : Kirkland, WA, USA;

Mountain View, CA, USA; New York, NY, USA .

Check out the role overview below If you are confident you have got the right skills and experience, apply today.

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 of work experience with 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. Product Analysts 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.

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.

From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.

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.

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