Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context

Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries.

Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems.

Evaluate machine learning systems against business goals. Collaborate with Engineers to implement algorithms in live systems and ensure the robustness of the systems

Establish metrics and development measurement methodologies to monitor the health of our products, as well as the impacts on user and marketplace outcomes

Drive collaboration and coordination with cross-functional teams

M.S. or Ph.D. in Machine Learning, Operations Research, Statistics, Computer Science or other quantitative fields

2+ years of algorithms experience in a technology company setting

Proficiency with Python and working in a production coding environment

Passion for solving unstructured and non-standard mathematical problems and building impactful machine learning models leveraging expertise in one or multiple fields.

Strong understanding of machine learning methodologies, with proven experience with building and evaluating optimization or machine learning models

Strong verbal and written communication skills with a good track record of collaborating with others to solve a problem

Applied Scientist- Pricing, Dynamic Pricing & Offer Selection

Responsibilities

Qualification

Required

Benefits

Company

Lyft

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