Staff Data Scientist Manager, Search AI Overview

Google LLC
Mountain View, CA, United States
24 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$207,000.0 - $300,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Big Data Databases R (Programming Language) Python (Programming Language) SQL Databases Generative AI

Job description

  • Lead and drive cross-functional development with a wide variety of teams, and work closely with product managers and engineers to identify growth and quality opportunities for the product.
  • Conduct analyses of large-scale datasets, applying statistical methods to solve complex problems, and presenting recommendations to stakeholders. Influence product development, improve user experiences, and drive business outcomes.
  • Drive understanding, evaluate, and develop measurement methodologies for complex GenAI models.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Requirements

  • Master’s degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
  • 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree., * 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.
  • 3 years of experience as a people manager within a technical leadership role.

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