Lyft Inc

Position Title/Short Description

Full Text of JOE Listing:

Lyft’s Research Science Teams build mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We are hiring motivated experts in each of these fields. We're looking for someone who is passionate about solving mathematical problems with data in an innovative and collegial environment.

Responsibilities:
Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context.
Perform exploratory data analysis to gain a deeper understanding of the problem
Construct and fit statistical, machine learning, or optimization models
Write production modeling code; collaborate with Software Engineers to implement algorithms in production
Design and run both simulated and live traffic experiments
Analyze experimental and observational data; communicate findings; facilitate launch decisions

Experience:
Pursuing a Ph.D. in Statistics, Economics, Operations Research, Mathematics, Computer Science, or other quantitative fields
Passion for solving unstructured and non-standard mathematical problems
End-to-end experience with data, including querying, aggregation, analysis, and visualization
Proficiency with Python, or another interpreted programming language like R or Matlab
Willingness to collaborate and communicate with others to solve a problem