Applied Scientist- Pricing, Dynamic Pricing & Offer Selection

About This Role

Key ResponsibilitiesAI-extracted

• 1
  Develop mathematical models and launch algorithms for dynamic pricing and offer selection
• 2
  Build and deploy production-grade ML and optimization models
• 3
  Collaborate with cross-functional teams, including data scientists, engineers, and product managers
• 4
  Design and implement custom methods and tooling beyond off-the-shelf libraries
• 5
  Evaluate machine learning systems against business goals and establish metrics for monitoring product health

RequirementsAI-extracted

• 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 production coding environment
• Strong understanding of machine learning methodologies and experience with building and evaluating optimization or machine learning models
• Typically: experience with data analysis and problem-solving in a fast-paced environment

Perks & BenefitsAI-extracted