Uber Staff Scientist - Membership 

United States, West Virginia 

13718395

What you will do

• Develop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of product, growth, and optimization initiatives.
• Build statistical, optimization, and machine learning models for strategic insights as well as in production enhancements to the membership program.
• Design and analyze experiments, present results that provide actionable recommendations.
• Orient our teams around data-driven product development by driving the creation of logging, metrics, data visualization and diagnostic tools, and experimentation paradigms.
• Define how our teams measure success, by developing metrics, in close partnership with cross functional partners.

Basic Qualifications

• B.S or M.S. in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative field
• 7+ years of industry experience as an Applied or Data Scientist or equivalent.
• Experience in developing causal inference methodologies and experimental design (e.g., A/B and market-level experiments).
• Proficiency in SQL and programming languages (Python and/or R)
• Strong communication skills across technical, non-technical, and executive audiences.
• Strong business and product sense: ability to shape vague questions into well-defined analyses and success metrics that drive business decisions.

Preferred Qualifications

• Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.
• Experience in building consumer-facing products in a technology company.
• Advanced analytics skills such as causal inference and non-standard A/B testing techniques.
• Experience managing projects across large, ambiguous scopes and driving initiatives in a fast moving, cross-functional environment.
• Experience with dashboard/data visualization toolings.

* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .