Applied Scientist- Pricing, Dynamic Pricing & Offer Selection

Posted

LyftNew York, NYfull-time

$140,800 USD

Tech Stack

Responsibilities

  • Partner with cross-functional teams to frame problems mathematically and within the business context.
  • Design, build, and deploy production-grade ML and Optimization models, including custom methods and tooling.
  • Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions.
  • Evaluate machine learning systems against business goals and collaborate with Engineers for implementation and robustness.
  • Establish metrics and development measurement methodologies to monitor product health and impact on user/marketplace outcomes.

Benefits

  • 401k
  • Equity
  • Health Insurance
  • Parental Leave

Culture

Hybrid WorkCollaborative SpaceFast-PacedInclusive Hiring

Requirements

Required: M.S. in Machine Learning, Operations Research, Statistics, Computer Science or other quantitative fields
Preferred: Ph.D. in Machine Learning, Operations Research, Statistics, Computer Science or other quantitative fields
Regions: Us

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About Lyft
Industry: ridesharing
Size: large

Lyft is a transportation network company that aims to serve and connect people by providing a platform for ridesharing, pricing algorithms, and marketplace optimization.

View company profile →
Compensation
Base salary: $140,800 USD
Equity: potential equity offering