Uber Scientist II - Mobility Matching Science 

United States, West Virginia 

355838830

What You'll Do

• Develop data-driven business insights and work with cross-functional stakeholders to identify opportunities and recommend prioritization of product, growth and optimization initiatives
• Design and analyze experiments, communicating results that draw detailed and actionable conclusions
• Analyze and contribute to development of optimization algos and ML models for use in mobility matching
• Collaborate with cross-functional teams such as product, engineering and operations to drive system development end-to-end from conceptualization to final product

Basic Qualifications

• Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.
• Proficient in Python/R to work efficiently at scale with large datasets
• Knowledge of experimental design and analysis (A/B, Switchbacks, Synthetic Control, Diff in Diff etc)
• Experience with exploratory data analysis, statistical analysis and testing and model development

Preferred Qualifications

• Ability to work in self-guided manner
• Good communication skills across technical, non-technical and executive audiences
• Have a growth mindset; love solving ambiguous, ambitious and impactful problems
• Experience in optimization and/or algorithm development
• Experience with dashboard / data visualization tools (i.e Tableau, Mixpanel, Looker or similar)
• Experience working on online experiments

For San Francisco, CA-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .