Product Data Scientist, Google Ads

Google; Mountain View (CA); On-site; USD 138,000 - 197,000; Full time

Benefits offered by this job

Equity

Bonus target 15%

Job summary

Google is seeking a Data Scientist to support the Advertiser Platform. You will act as an analytics expert, turning data into strategic insights for Engineering and Product Management. You will help scale and improve Google Ads through data-driven decision making and storytelling with numbers.

The role emphasizes building tools, datasets, and metrics to enable the AP team and the broader campaign automation efforts, influencing performance across markets.

Qualifications

• Bachelor's degree in a quantitative field or equivalent practical experience.
• 5 years of work experience with analysis applications and coding (Python, R, SQL) or 2 years with a Master's degree.
• Master's degree in a related quantitative field is preferred.

Responsibilities

• Conduct investigations into business and product strategy questions using unstructured data and advertiser behavior analysis.
• Design, execute, and evaluate complex experiments to measure impact of product changes on advertiser performance.
• Create and maintain robust reporting frameworks and KPIs showing incremental impact to Google’s business and its advertisers.
• Translate analytical findings into clear business strategies for the Advertiser Platform team.

Skills

Python

R

SQL

Education

Bachelor's degree in quantitative field

Master's degree (preferred)

Job description

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

Minimum qualifications

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, or equivalent practical experience.
• 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years 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.
• 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (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. The Advertiser Platform (AP) team drives better business outcomes for ads customers through automation and critically important platforms, encouraging long‑term investments with Google. The AP Product Analytics (APPA) team enables the AP team to make data‑driven decisions by building tooling, maintaining datasets, and by measuring and delivering insights for improving key metrics for our scaled and automated Google Ads products. In this role, you will empower the Advertiser Platform team to make critical, data‑driven decisions by providing the tools, datasets, and actionable insights they need to scale and improve Google Ads products. You will play a pivotal role in supporting the Performance Max team and broader campaign automation efforts. Your work will center on understanding and optimizing how advertisers express their business objectives through conversion goals, advertising channel value modifiers, customer lifecycle optimization, and other emerging controls. Individual pay is determined by factors including job‑related skills, experience, and relevant education or training.

• US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits

Responsibilities

• Perform comprehensive investigations into fundamental business and product strategy questions using unstructured data (e.g. logs) and advertiser behavior analysis.
• Participate in end‑to‑end design, execution, and evaluation of complex experiments to definitively measure how product changes impact advertiser performance.
• Create and steward robust reporting frameworks and key performance indicators that capture the incremental impact delivered to Google’s business and its advertisers.
• Act as a critical strategic partner to the Advertiser Platform team, translating complex analytical findings into clear business strategies that anticipate future market trends.

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.