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, or

equivalent practical experience.

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

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

analysis, or a PhD degree.

PREFERRED QUALIFICATIONS:

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

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

analysis, or a PhD degree.

ABOUT THE JOB:

The Ads in AI Experiences team is responsible for a high priority initiative 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 generation engine.

Google Ads is helping power the open internet with the best technology that

connects and creates value for people, publishers, advertisers, and Google.

We’re made up of multiple teams, building Google’s Advertising products

including search, display, shopping, travel and video advertising, as well as

analytics. Our teams create trusted experiences between people and businesses

with useful ads. We help grow businesses of all sizes from small businesses, to

large brands, to YouTube creators, with effective advertiser tools that deliver

measurable results. We also enable Google to engage with customers at scale.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

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

RESPONSIBILITIES:

• Collaborate with stakeholders in cross-projects 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, using

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). Independently format,

re-structure, and/or validate data to ensure quality, and review the dataset

to ensure it is ready for analysis.