Product Data Scientist, Google Ads

Google; United States; On-site; USD 138,000 - 197,000; Full time

Job summary

Google is seeking a Product Data Scientist for Google Ads in Mountain View, CA, or New York, NY. You will act as an analytics expert, transforming data into actionable business decisions and communicating insights to engineering and product teams.

The role focuses on the Advertiser Platform products, building tooling, datasets, and insights to improve key metrics for scaled Google Ads products, including Performance Max and campaign automation efforts.

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).

Responsibilities

• Perform investigations into fundamental business and product strategy questions using unstructured data (e.g. logs) and advertiser behavior analysis.
• Design, execute, and evaluate complex experiments to measure impact of product changes on advertiser performance.
• Create and steward robust reporting frameworks and KPIs that capture impact for Google's business and advertisers.
• Translate analytical findings into clear business strategies that anticipate future market trends.

Skills

Python

R

SQL

Statistical analysis

Education

Bachelor's degree in a quantitative field

Master's degree in a quantitative field

Job description

Product Data Scientist, Google Ads

Google

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

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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

Learn more about benefits at Google.

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.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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