Senior Data Scientist, Product, Ads Sellside

Responsibilities

Partner with Product, Engineering, Finance, and Publisher Intelligence teams to analyze Sellside products, experiments, auction dynamics, and market performance. Identify risks and opportunities, develop scalable analytical infrastructure, and communicate data-driven recommendations to decision-makers and executives.

Requirements

A bachelor's degree in a quantitative field and at least eight years of relevant experience are required, or five years of experience with a master's degree; five years of SQL experience is also required. A master's degree, experience with Google Ads or similar platforms, and experience analyzing large datasets and logs are preferred.

Skills

• Data Science
• Statistical Analysis
• Python
• R
• SQL
• Product Analytics
• Business Analytics
• Large-Scale Data Analysis
• Logs-Based Analysis
• Experiment Analysis
• Auction Fundamentals
• Market Dynamics
• Data Visualization and Communication
• Analytical Infrastructure Development
• Google Ads

Benefits

• Bonus
• Equity
• Benefits

About this role

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:

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
[https://www.google.com/about/careers/applications/benefits/].

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.

About Google

Software Development · 10,001+ employees · headquartered in Mountain View, CA