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LyftLyftSan Francisco, CA

Senior Data Scientist, Marketplace

Senior Data Scientist on Lyft's FORTOP team building and productionizing time series forecasting and ML models to generate real-time supply/demand signals that power Dynamic Pricing, Supply Management and other marketplace systems. Requires 5+ years experience, strong ML fundamentals, and Python proficiency.

148k – 185k
Hybrid5+ YOEData Science

About the role

Responsibilities

  • Partner with Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context, and shape roadmaps across cross-functional teams
  • Perform exploratory data analysis to gain a deeper understanding of the problem and the marketplace
  • Develop, fit, and evaluate time series forecasting and machine learning models
  • Write production model code; collaborate with Software Engineers to implement and scale models and algorithms in production, with attention to correctness, efficiency, consistency, and technical debt
  • Design and implement both simulated backtesting and live experiments; analyze experimental and observational data, communicate findings, and facilitate launch decisions
  • Define and uplevel monitoring of model and signal health; build and scale tooling that improves the efficiency of operational tasks

Requirements

  • M.S. or Ph.D. in Statistics, Mathematics, Economics, Operations Research, Computer Science, or other quantitative fields or related work experience
  • 5+ years professional experience in a technology company setting involving a product
  • Proven experience with building and evaluating time series forecasting and machine learning models, ideally in real-time or large-scale production settings
  • Strong grasp of core ML fundamentals — feature engineering, model evaluation, and managing the bias-variance tradeoff
  • Proficiency with Python and modern ML libraries, and experience working in a production coding environment
  • End-to-end experience with data, including querying, aggregation, analysis, and visualization
  • Passion for solving unstructured and non-standard mathematical problems
  • Strong written and verbal communication; ability to align stakeholders and influence outcomes through reasoning and data

Nice-to-Haves

  • Experience in real-time or large-scale production settings for forecasting and ML models

Compensation and Benefits

  • Expected base pay range for this position in the San Francisco area: $148,000 - $185,000 (not inclusive of potential 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) plus 12 observed holidays
  • 18 weeks of paid parental leave
  • Subsidized commuter benefits
  • Monthly Lyft credits and complimentary Lyft Pink membership

Skills

PythonMachine LearningTime Series ForecastingFeature EngineeringModel EvaluationBias-Variance TradeoffData AnalysisData VisualizationSQLExperiment DesignBacktestingA/B Testing

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