Senior Data Scientist, Product, Ads Sellside

In most instances, this position requires in-person interviews as part of the hiring process.### Minimum qualifications:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python or R) (or 5 years of work experience with a Master's degree).
• 5 years of experience interacting with and manipulating data using SQL.

Preferred qualifications:

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• Experience with Google Ads, or similar platforms.
• Experience analyzing large datasets and working directly with logs-based analysis.

About the job

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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.

Mission

Power Ads’ strategic product decisions with data-driven and objective perspective, insights and recommendations.

Google Ads is at the forefront of AI innovation, applying machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.

Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges.

Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next-generation of advertising technology.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.Responsibilities

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• Partner with Product Managers, Engineering teams, Finance, and Publisher Intelligence to support Sellside products.
• Conduct ad-hoc deep dives into experiments and product performance to help prioritize product resource investments.
• Provide quantitative support around auction fundamentals and engaged market dynamics, and support responses to regulatory inquiries and published research.
• Uncover, analyze, and communicate upcoming risks and opportunities to the business.
• Develop infrastructure to scale and support existing analyses, and present data-driven findings to decision-makers and executives across the company.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.