Uber Staff Scientist - Airports 

United States, West Virginia 

661397660

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.