Product Data Scientist, Google Ads

About the 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. 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.

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.

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).

Pay

US: $138,000 – $197,000 (USD) + 15% bonus target + equity + benefits