Staff Research Data Scientist, Search Ads Metrics

Google; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Google Staff Research Data Scientist, Search Ads Metrics in Mountain View, CA, leads a team to drive ads growth through data-driven analysis, modeling, and decision making.

You will design experiments, measure long-term impact, collaborate with product and engineering, and mentor colleagues while delivering business value for Google.

Qualifications

• Master's degree in statistics, data science, or a related quantitative field.
• 8 years of experience using analytics, or 6 years with a PhD.
• Experience solving product or business problems with data.

Responsibilities

• Lead a team of data scientists to contribute to ads business growth through analysis and modeling.
• Optimize the Search Ads serving system by delivering insights from models.
• Coach and mentor data scientists, setting expectations and providing challenges.
• Collaborate with product, engineering, and executives to align on solutions.
• Navigate stakeholders to drive data-driven product development.

Skills

Python

SQL

R

Leadership

Education

Master's degree in a quantitative field

Job description

Staff Research Data Scientist, Search Ads Metrics

Mountain View, CA, USA

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

Minimum qualifications:

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of experience with a PhD degree.

Preferred qualifications:

• 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.

About the job

Ads Metrics is the Data Scientist team for Search and O&O ads. We support the SAGE (Search Ads and Google Experience) organization in developing the most important ad products at Google - from classic text ads, to rich shopping ads, to exciting new products like Demand Gen Campaigns, Local Ads, Travel Ads, etc. These products are the heart of Google’s business in annual business, are complex, advanced, and they are rapidly growing and evolving.

In this role, you will guide product development and executive decisions with data. You will measure the long term impact of all the changes Google makes on users, advertisers, and Google systems with innovative experiment designs; identify new growth opportunities with deep data analysis; and understand the tradeoffs between user, advertiser and Google value with principled frameworks. You will work closely with the Engineering/PM collaborators to improve the products, and with SAGE executives to understand the growth levers and their impact on business. Your role is to drive long term value for Google’s business with insightful data science.

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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Lead a team of data scientists to contribute to ads business growth by initiating, executing, and presenting impactful analysis and modeling projects.
• Optimize the Search Ads serving system by delivering valuable business insights from mathematical models.
• Coach and mentor data scientists by setting clear expectations, evaluating performance, and providing challenges to stretch their skills.
• Collaborate with product, engineering, executive stakeholders, and other organizations to understand needs, assist in decision-making, and align on solutions.
• Navigate multiple stakeholders and organizational complexity to drive data-driven product development.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.