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Uber Staff Scientist - Airports 
United States, West Virginia 
661397660

24.06.2024

What you’ll do:

  • Deploy a wide variety of methodologies, including causal inference techniques, funnel analyses, and econometric modeling to identify our largest business opportunities
  • Work together with Product, Operations, and Engineering partners to design a roadmap of features and initiatives as well as the long-term team strategy
  • Present findings to business and executive audiences

Basic Qualifications

  • Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.
  • Strong SQL skills and ability to code in either Python or R.
  • Experience in experimental design and analysis (e.g., A/B and/or market-level experiments).

Preferred Qualifications:

  • 6+ years of industry experience as a Data Scientist or equivalent.
  • Ability to design, develop, productionize, and operate econometric models, experiments, and frameworks to assess challenging causal problems such as product incrementality and long-term value.
  • Familiarity with pricing and elasticity modeling.
  • Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions.
  • Experience collaborating with very senior stakeholders (Director+) and generating insights to shape strategy.
  • Familiarity with data visualization tools, such as Tableau.

For San Francisco, CA-based roles: The base salary range for this role is USD$203,000 per year - USD$225,500 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$203,000 per year - USD$225,500 per year.