Data Scientist, Product, AdSense

Minimum qualifications:

• Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
• 3 years of experience with statistical data analysis, data mining, and querying (e.g., SQL).
• 1 year of experience managing analytical projects.

Preferred qualifications:

• Familiarity with AdSense for Content, Ad Manager or AdMob.

The team works closely with product managers and engineers to shape the strategy of this business.

Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.

The US base salary range for this full-time position is $122,000-$178,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

• Support Program Managers (PMs) and engineering teams for our sellside products: AdSense and Google Ad Manager and AdMob.
• Work cross-functionally with analyst colleagues in Finance and Publisher Intelligence
• Conduct ad-hoc experiments and product performance to help prioritize product resource investments. Uncover, analyze and communicate upcoming risks and opportunities to the business.
• Provide intelligence and quantitative support around auction fundamentals and engaging market dynamics, support our responses to regulatory inquiries and published research into these topics
• Develop infrastructure to scale and support existing analyses, and present findings to decision-makers and executives across the company.