Senior Data Scientist

vor 2 Wochen

Zürich, Zürich, Schweiz Google Vollzeit CHF 120'000 - CHF 180'000 pro Jahr
Minimum qualifications:
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • 5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of experience with a PhD degree.
  • Experience with metrics analysis.
  • Experience with performance evaluation.
  • Experience with user experience measurement.
Preferred qualifications:
  • Experience with Artificial Intelligence and Statistical Modeling.
  • Excellent verbal communication and stakeholder management skills.


About the jobIn 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 joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Responsibilities
  • Work with complex data sets; solve difficult, non-routine analysis problems. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations.
  • Build and prototype analysis pipelines iteratively to provide insights at scale. Develop a comprehensive understanding of Google data structures and metrics, advocating for changes where needed for both product development and sales activity.
  • Interact cross-functionally with a wide variety of leaders and teams, and work closely with Engineers and Product Managers.
  • Make business recommendations with effective presentation of findings to multiple levels of stakeholders, through visual displays of quantitative information.
  • Research and develop analysis, forecasting and optimization methods to improve the quality of Google's user-facing products. Work in the evolving field of GenAI Evaluation Science, conducting Large language model-based evaluation to inform model and product quality.

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