Senior Data Scientist, Product, Ads Sellside

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. 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.

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.

Responsibilities

• 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.