Uber Scientist II - Mobility Matching 

United States, West Virginia 

319484997

About the Role

- - - - What the Candidate Will 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 ----

• Undergraduate and/or graduate degree in Statistics, Economics, Operations Research or other quantitative fields
• Proficient in SQL and advanced experience using Python/R to able 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
• Good communication skills across technical, non-technical and executive audiences

- - - - Preferred Qualifications ----

• PhD, or MS degree in Statistics, Economics, Operations Research or other quantitative fields
• Have a growth mindset; love solving ambiguous, ambitious and impactful problems

For San Francisco, CA-based roles: The base salary range for this role is USD$149,000 per year - USD$165,500 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$149,000 per year - USD$165,500 per year.