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Google

Senior Data Scientist, Research, Consumer Shopping

Google
Switzerland · Full-time · Mid-Senior

Minimum qualifications:

  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
  • 5 years of experience with Experiment Design.
  • Experience in Stakeholder Management.
  • Experience in Metrics analysis.

Preferred qualifications:

  • Experience with various methods of statistical data analysis and modelling.
  • Experience in Artificial Intelligence.
  • Excellent written, verbal communication and people management skills.

About the jobGoogle Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

Responsibilities

  • Work with data sets, solve difficult, non-routine analysis problems. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations.
  • Interact cross-functionally with leaders and teams, and work with Engineers and Product Managers to identify opportunities for design and assess improvements for Google products.
  • Research and develop analysis, forecasting and optimization methods to improve the quality of Google's user facing products.
  • Build and prototype analysis pipelines to provide insights. Develop understanding of Google data structures and metrics, advocate for changes for product development and business activity.
  • Make business recommendations (e.g. cost-benefit, forecasting, experiment analysis) with effective presentation of findings at multiple levels of stakeholders through visual displays of quantitative information.


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 .

Key Skills

Ranked by relevance

data structures data analysis
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Posted
Aug 15, 2025
Type
Full-time
Level
Mid-Senior
Location
Zurich
Company
Google

Industries

Information Services Technology Information Internet

Categories

Information Technology Engineering

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