Jobs/New York City/Senior Data Scientist - Optimization, Central Market Management & AI
New York City, New York, United States

Senior Data Scientist - Optimization, Central Market Management & AI

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Company
Lyft
Compensation
Not listed
Schedule
Full-Time
Role overview

What this role actually needs.

Senior Data Scientist - Optimization, Central Market Management & AI at Lyft in New York City. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Responsibilities

Day-to-day expectations

A clear list of the work this role is designed to cover.

  • Optimization & Modeling Design, formulate, and solve complex mathematical optimization problems that power Lyft’s marketplace decisions across pricing, pay, incentives, and resource allocation.
  • Build, deploy, and maintain production-grade ML and optimization models; collaborate with Software Engineering to integrate algorithms into live systems and establish robust monitoring for model performance and data health.
  • Own the full model lifecycle—from problem framing and prototyping through experimental validation and production deployment—refusing a “build and forget” mentality.
  • Apply first-principles mathematical reasoning to marketplace challenges, choosing the simplest effective solution and building complexity only when incremental value justifies the technical debt.
  • Technical Strategy & Execution Drive large-scale technical projects from initial concept to high-impact execution, ensuring alignment with business priorities and Lyft’s overarching goals.
  • Contribute to and influence the multi-quarter technical roadmap for foundational models, helping shape the vision and architecture for next-generation optimization and forecasting systems.
Requirements

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    Benefits

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    • 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 with company match to help save for your future
    • In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
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    • Tailor your resume around ai and llm instead of sending a generic application.
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    Artificial IntelligenceOn-siteaillmmachine-learningresearch

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