Product Data Scientist: Ads Analytics & Strategy

Google; New York (NY); On-site; USD 138,000 - 197,000; Full time

Job summary

Google is seeking a Product Data Scientist for Google Ads to drive data-driven decisions across the Advertiser Platform. You’ll serve as an analytics expert, weaving insights from data into actionable business strategies for engineers and product managers.

In this role, you’ll support the APPA team and Performance Max initiatives, developing tools, datasets, and metrics to improve Google Ads products. Strong statistical and programming skills are essential.

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 with a Master's degree).

Responsibilities

• Perform investigations into fundamental business and product strategy questions using unstructured data and advertiser behavior analysis.
• Design, execute, and evaluate complex experiments to measure how product changes impact advertiser performance.
• Create and steward reporting frameworks and KPIs that capture impact for Google’s business and advertisers.
• Translate analytical findings into clear business strategies for the Advertiser Platform team.

Skills

Statistical analysis

Python

R

SQL

Data analysis

Education

Bachelor's degree in Statistics or related quantitative field

Master's degree (preferred)

Job description

Google is seeking a Product Data Scientist for Google Ads to drive data-driven decisions across the Advertiser Platform. You’ll serve as an analytics expert, weaving insights from data into actionable business strategies for engineers and product managers.

In this role, you’ll support the APPA team and Performance Max initiatives, developing tools, datasets, and metrics to improve Google Ads products. Strong statistical and programming skills are essential.