Product Data Scientist, Google Ads

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

Benefits offered by this job

Equity

Benefits

Bonus target

Job summary

Google’s Advertiser Platform (AP) team seeks a data-driven Analytics Scientist to support global product decisions. You will provide quantitative insights, imagine market understanding, and craft narratives from data to guide engineers and product managers.

You will build tools and datasets, enabling AP to measure and improve metrics across Google Ads. Your work will help scale campaigns and optimize advertiser objectives through advanced analytics.

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 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.

Skills

Statistical analysis

Data storytelling

Experiment design

Data interpretation

Education

Bachelor's degree in a quantitative field

Master's degree preferred

Tools

Python

R

SQL

Job description

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.