Applied Scientist at Lyft - ScoutJobs - The AI-curated global job board
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Applied Scientist

LyftApplied Scientist

Requirements

M.S. or Ph.D. in quantitative field, 2+ years algorithms experience, Proficiency in Python, Experience with ML and optimization models

Skills

PythonMachine LearningOperations Research

About the role

Responsibilities

  • Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically
  • Write production quality code and deploy production-grade ML and Optimization models
  • Perform data analysis and build proof-of-concepts for ML and Optimization solutions
  • Evaluate machine learning systems against business goals and collaborate with Engineers on implementation
  • Establish metrics and measurement methodologies to monitor product health and marketplace outcomes
  • Drive collaboration and coordination with cross-functional teams

Requirements

  • 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 in a production coding environment
  • Strong understanding of machine learning methodologies and optimization models
  • Strong verbal and written communication skills

Benefits

  • Medical, dental, and vision insurance
  • Mental health, family building, child care, and pet benefits
  • 401(k) plan with company match
  • Discretionary paid time off and 18 weeks of paid parental leave
  • Subsidized commuter benefits
  • Monthly Lyft credits and complimentary Lyft Pink membership

About the Company

Lyft aims to serve and connect by cultivating a work environment where all team members belong and have the opportunity to thrive.

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Applied Scientist

Lyft · San Francisco

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