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LyftLyftNew York, NY

Data Scientist, Optimization

Develop mathematical optimization and ML models for Lyft's Planned Pricing systems to set efficient price targets. Requires PhD in quantitative field, strong optimization experience, and Python proficiency in production environments.

128k – 160k
HybridData Science

About the role

Responsibilities

  • Partner with Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context
  • Prioritize and lead deep dives into our data to uncover new product and business opportunities
  • Be familiar with production code; collaborate with Software Engineers to implement algorithms and models in production
  • Design, implement, and analyse different types of experiments, and facilitate and foster data-driven and informed decision making and prioritization
  • Establish metrics that measure the health of our products, as well as rider and driver experience
  • Drive collaboration and coordination with cross-functional teams
  • Provide coaching and technical guidance for other teammates

Requirements

  • Ph.D. in Operations Research, or other quantitative fields or related work experience
  • Proven experience with building and evaluating optimization 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 verbal and written communication skills, and ability to collaborate and communicate with others to solve a problem

Nice-to-Haves

  • Experience in pricing, marketplace, or transportation domains

Compensation and Benefits

  • Expected base pay range for New York City: $128,000 - $160,000 (not inclusive of equity, bonus, or benefits)
  • Great medical, dental, and vision insurance options
  • Mental health benefits, family building benefits, child care and pet benefits
  • 401(k) plan with company match
  • Discretionary paid time off (salaried), 15 days PTO (hourly), 12 observed holidays
  • 18 weeks of paid parental leave
  • Subsidized commuter benefits
  • Monthly Lyft credits and complimentary Lyft Pink membership

Skills

PythonOptimization ModelsOperations ResearchMachine LearningInferenceA/B TestingData AnalysisData VisualizationSQLExperiment Design

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