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LyftLyftSan Francisco, CA

Data Scientist, Algorithms, Optimization - Fulfillment

Develops mathematical models, machine learning, and optimization algorithms for real-time rideshare supply-demand matching on Lyft's Fulfillment team. Requires MS/PhD in quantitative field, 2+ years experience, and Python proficiency.

128k – 160k
Hybrid2+ YOEData Science

About the role

Responsibilities

  • Leverage data and analytic frameworks to direct creations and improvements of algorithms and models underpinning the team's systems and products
  • 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 implement both simulated and live traffic experiments
  • Analyze experimental and observational data; communicate findings; facilitate launch decisions
  • Develop measurement methodologies to monitor the health of our products, as well as the impacts on user outcomes and marketplace outcomes
  • Drive collaboration and coordination with cross-functional teams

Experience

  • M.S. or Ph.D. in Machine Learning, Statistics, Operations Research, Computer Science, Mathematics, or other quantitative fields
  • 2+ years professional experience in a technology company setting
  • Proven experience with building and evaluating machine learning models
  • Proficiency with Python and working in a production coding environment
  • Passion for solving unstructured and non-standard mathematical problems
  • End-to-end experience with data, including querying, aggregation, analysis, and visualization
  • Strong oral and written communication skills, and ability to collaborate and communicate with others to solve a problem

Benefits

  • Great medical, dental, and vision insurance options with additional programs available when enrolled
  • Mental health benefits
  • Family building benefits
  • Child care and pet benefits
  • 401(k) plan to help save for your future
  • In addition to 12 observed holidays, salaried team members have discretionary paid time off
  • 18 weeks of paid parental leave
  • Subsidized commuter benefits

Expected base pay range in San Francisco area: $128,000 - $160,000 (dependent on qualifications, experience, and location; excludes equity, bonus, benefits)

Skills

PythonMachine LearningOptimizationStatisticsOperations ResearchData AnalysisSQLData VisualizationA/B TestingProduction Code

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