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Data Scientist (All Levels) (Seattle)


Lyft Corporate
Headquarters: Seattle, WA

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. The ideal candidate is a critical thinker, is passionate about solving mathematical problems with data, and is excited about working in a fast-paced, innovative and collegial environment. RESPONSIBILITIES
Work with Data Scientists and Product Managers to frame a problem, 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 AND SKILLS
M.S. or Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative field
2+ years professional or research experience
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
The Problems: Data Science models power real-time, in-product decision making at Lyft. This includes efficiently matching passengers and drivers, predicting travel times and distances, balancing supply and demand in the network, and protecting our passengers and drivers against fraudsters. Data Scientists also build evaluation methodology for these foundational algorithms, including a high-fidelity simulation environment. Every new Lyft product, or step-change improvement in the efficiency of our platform, begins with a deep contribution from the Data Science Team. Lyft is an EEO employer that actively pursues and hires a diverse workforce, and pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.