Applied Scientist- Pricing, Dynamic Pricing & Offer Selection

San Francisco Officefull timeRemote

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entry

$141k–$176k

H1B: yes

Lyft Applied Scientist at Lyft specializing in Machine Learning and Operations Research to develop mathematical models and algorithms for dynamic pricing and offer selection. Builds scalable ML and optimization models impacting marketplace pricing and rider experience.

Responsibilities

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

Qualification

Required

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
Strong understanding of machine learning methodologies

Benefits

Dental
Vision
401(k)
PTO
Equity/RSU
Parental Leave
Wellness

Company

Lyft

View company page

1001-5000 employees

Transportation

Founded 2012

Source: greenhouse

Active within the past hour

Remote-friendly

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Must-Have Skills for This Role

PythonMachine LearningOperations ResearchOptimizationAlgorithms

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