Data Scientist, Product, Search AI Experiences

Google; New York (NY); On-site; USD 138,000 - 197,000; Full time

Job summary

Google is seeking a mid-level Data Scientist for the Search AI Experiences team in Mountain View, CA or New York, NY. You will collaborate with Engineering, Product, UX, and Research to measure and improve AI-powered search experiences, defining metrics and running experiments on multi-step journeys.

Qualifications include a Bachelor's in a quantitative field or a Master's with relevant experience, plus 5 years (or 2 years with a Master's) of analysis and coding using Python/R/SQL.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 5 years of experience with analysis applications, and coding (Python, R, SQL) or 2 years with a Master's degree.
• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 5 years of experience with analysis applications (e.g., extracting insights, statistical analysis) and coding (Python, R, SQL).

Responsibilities

• Frame and solve ambiguous product problems and communicate results to technical and non-technical audiences.
• Work cross-functionally with Product, Engineering, UX, and Research partners and influence prioritization with data.
• Define success metrics and quality frameworks for multi-step and conversational AI experiences in Search.

Education

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field

Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field

Tools

Python

R

SQL

Job description

Data Scientist, Product, Search AI Experiences

Google

Mountain View, CA, USA; New York, NY, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

In most instances, this position requires in-person interviews as part of the hiring process. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.

Minimum qualifications:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.


• 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL) or 2 years of experience with a Master's degree.

Preferred qualifications:

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.


• 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL).

About the job

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on.

In this role, you will work cross-functionally with leads from Engineering, Product, UX, and Research to shape how AI-powered experiences in Search are measured and improved. As AI systems across the industry become more capable at reasoning through complex, multi-step goals, the question of what "success" means for a search journey is evolving, and you will help define that answer: by developing new metrics and evaluation approaches, designing experiments for complex user flows, and translating findings into product direction. Your work will directly inform the future of Google Search and AI Mode, applying techniques like LLM-based evaluation and causal inference to some of the most consequential product questions at Google.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Frame and solve ambiguous product problems and communicate the results clearly to both technical and non-technical audiences.


• Work cross-functionally with Product, Engineering, UX, and Research partners. Act as a thought partner and influence prioritization with data.


• Define success metrics and quality frameworks for multi-step and conversational AI experiences in Search, spanning task completion, efficiency, trust, and user satisfaction.


• Analyze human and auto-rater evaluations of AI experiences alongside behavioral signals to build a holistic view of product quality.


• Design and assess live experiments to understand the impact of new AI features on user journeys, and make clear launch recommendations.

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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.

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