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The Matching team at Uber builds the systems that determine the optimal way to fulfill trips on the Mobility platform. We work on the problems of determining which earners to send an offer to and when. The solutions we build are critical for maintaining reliability and ensuring the trust of riders and earners alike.
Job Responsibility:
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
Requirements:
Ph.D. in Statistics, Economics, Machine Learning, Operations Research, Computer Science, or another quantitative field
Minimum 2 years of industry experience as an Applied Scientist, Data Scientist, or in a similar quantitative role
Strong knowledge of the mathematical foundations of statistics, machine learning, optimization, and economics
Proven experience in experimental design (e.g., A/B testing) and causal inference
Proficiency in using Python or R for data analysis, modeling, and algorithm prototyping at scale with large datasets
Experience with exploratory data analysis, statistical analysis and testing, and model development
Nice to have:
Ph.D., or M.S. in Statistics, Economics, Machine Learning, Operations Research, Computer Science, or another quantitative field
Minimum 5 years of industry experience as an Applied Scientist, Data Scientist, or in a similar quantitative role
Strong knowledge of the mathematical foundations of statistics, machine learning, optimization, and economics
Proven experience in experimental design (e.g., A/B testing) and causal inference
Proficiency in using Python or R for data analysis, modeling, and algorithm prototyping at scale with large datasets
Experience with exploratory data analysis, statistical analysis and testing, and model development
What we offer:
Eligibility to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan