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Volunteer Google Data Science Jobs (NOW HIRING)

Google Inc.

Senior Data Scientist

San Francisco, CA · On-site

corporate_fare Google place San Francisco, CA, USA Mid Experience driving progress, solving ... Bachelor's degree in Data Science, Statistics, Mathematics, Physics, Economics, Operations Research ...

Booz Allen Hamilton

Data Architect

Warner Robins, GA · On-site

$86K - $198K/yr

Master's degree in Computer Science, Data Science, or Information Technology * AWS, Microsoft, or Google Data Engineering certifications * Certified Data Management Professional (CDMP) or The Open ...

Info Way Solutions

Data Science

Fremont, CA · On-site

Info Way Solutions is seeking a Data Science professional to join their team. The role involves ... Azure or Google Cloud. • Knowledge of a variety of machine learning techniques (clustering ...

KPMG

Lead Specialist, Federal Data Science

Mclean, VA · On-site

Build / manage production-ready data science product lifecycles, continuous delivery and automation ... Learning, Google Data Engineering, Azure AI Engineer Associate, etc.) * Experience building AI ...

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Infographic showing various Volunteer Google Data Science job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Product Data Scientist, Google Ads

Mountain View, CA • On-site

Socket.dev
Network Security • 1 - 10 employees
Learn more about Socket.devexternal

Other

Posted 9 days ago

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.

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