Staff Scientist - San Francisco, CA

Only for registered members San Francisco, CA, United States

2 weeks ago

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Job summary

We are seeking an experienced candidate with a passion for tackling highly ambiguous, high-impact problems using data. You will tackle highly ambiguous, high-impact problems applying your expertise in statistical modeling machine learning causal inference and economics to uncover insights that shape critical business and product decisions.

Responsibilities

  • Leverage advanced analytical methods including statistical modeling causal inference funnel analysis and deep-dive analytics to uncover Uber's largest opportunities in a competitive landscape and drive high-impact business decisions.
  • Translate complex analyses into actionable insights and present findings to business leaders executives and cross-functional partners to shape strategy.

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