Senior Staff Research Data Scientist, Search Ads in AI Experiences

About the role

MINIMUM QUALIFICATIONS:

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics,

Operations Research, Engineering, or a related quantitative field.

• 10 years of work experience using analytics to solve product or business

problems, coding (e.g., Python, R, SQL), querying databases or statistical

analysis, or 8 years of work experience with a PhD degree.

PREFERRED QUALIFICATIONS:

• 12 years of work experience using analytics to solve product or business

problems, coding (e.g., Python, R, SQL), querying databases or statistical

analysis, or 10 years of work experience with a PhD degree.

ABOUT THE JOB:

The Ads in AI Experiences team is responsible for one of the highest-priority

initiatives at Google: reinventing Search Ads for the AI era (AI Overview, AI

Mode). We are building the tech stack, the user experience, and the business

model simultaneously. Our mission is to ensure that as Search experience evolves

with AI, we unlock new ways for users to discover and engage with businesses

through seamless, next-generation commercial experiences. We are a team of

risk-takers and builders, responsible for experimenting with rapid velocity to

define the next decade of Google’s business engine.

Google Ads is at the forefront of AI innovation, applying cutting-edge 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: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google

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

RESPONSIBILITIES:

• Collaborate with stakeholders in cross-project and team settings to identify

and clarify business or product questions to answer. Provide feedback to

translate and refine business questions into tractable analysis, evaluation

metrics, or mathematical models.

• Use custom data infrastructure or existing data models as appropriate,

leveraging specialized knowledge. Design and evaluate models to

mathematically express and solve defined problems with limited precedent.

• Gather information, business goals, priorities, and organizational context

around the questions to answer, as well as the existing and upcoming data

infrastructure.

• Own the process of gathering, extracting, and compiling data across sources

via relevant tools (e.g., SQL, R, Python). Format, restructure, or validate

data to ensure quality, and review the dataset to ensure it is ready for

analysis.