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Minimum qualifications:
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
- 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.
- Experience with various methods of statistical data analysis and modelling.
- Experience in Artificial Intelligence.
- Excellent written, verbal communication and people management skills.
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.
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
Industries
Information Services
Technology
Information
Internet
Categories
Information Technology
Engineering
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