Lyft is seeking a Data Scientist to join its Data Science Team, responsible for building mathematical models that underpin the platform’s core services. This role involves partnering with engineers and product managers, performing data analysis, constructing statistical and machine learning models, and implementing algorithms in production.
About the role
About the Role
Lyft’s Data Science Team builds 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, and are excited about working in a fast-paced, innovative and collegial environment. You will report into a Science Manager.
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
Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative fields
2+ years professional experience in a technology companies
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