Senior Data Scientist Manager, Product

Google • Mountain View, CA • 3h ago

Minimum qualifications:

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

13 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 10 years of experience with a Master's degree.

5 years of experience as a people manager within a technical leadership role.

Preferred qualifications:

Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

15 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).

6 years of experience as a people manager within a technical leadership role.

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.

Ads Privacy and Safety drives trust with our customers, end-users and stakeholders to responsibly grow the Ads business for Google. We solve problems from adversaries in advertising fraud, spam, and abuse to evolving privacy, regulatory, and compliance obligations. Our work includes transforming the customer policy experience by steadily instrumenting the advertiser onboarding journey, using Large Language Models (LLMs) and agentic workflows to prevent invalid traffic, and redefining Google's approach to consent and ads personalization.

Our Data Science team of product analysts, researchers, and research scientists is at the center of solving problems' root causes or eliminating problems by changing the user experience altogether. We foster a culture of proactive measurement across our organization, improving how we operate with input and output metrics which involves defining and instrumenting them, tracking them, and guiding product development and decisions with data.

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.

The US base salary range for this full-time position is $227,000-$320,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google (https://careers.google.com/benefits/) .

Responsibilities:

Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Direct projects that combine analytical and organizational issues towards clear, sound, and actionable decisions.

Own end-to-end projects, covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of 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/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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

Google

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