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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. We are looking for experienced scientists who relish the opportunity to develop novel approaches and apply them at Uber’s scale.
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., 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
Nice to have:
6+ years of industry experience as an Applied Scientist, Data Scientist, or in a similar quantitative role
Ph.D. in a relevant quantitative field
Deep expertise in areas such as marketplace experimentation, causal inference, ML, or optimization, particularly in the context of multi-sided platforms, incentive systems, or logistics
Proficiency in SQL
Experience in algorithm development and prototyping, and with productionizing algorithms for real-time systems
Demonstrated ability to translate complex analytical results into clear, actionable insights and influence product and business strategy
Excellent communication and presentation skills, with the ability to articulate technical concepts to diverse audiences, including senior leadership
Experience leading technical projects and influencing the scope and direction of research
Familiarity with big data technologies (e.g., Spark, Hive, HDFS)
Strong business acumen and the ability to shape vague questions into well-defined analytical problems and success metrics
What we offer:
Eligible 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