Research Scientist III

Chewy Chewy · Retail · Bellevue, WA

Chewy is seeking a Research Scientist III with a background in optimization and machine learning (ML) to join the Supply Chain Outbound Science team. The role will focus on developing and implementing ML-based replenishment models to optimize outbound fulfillment and supply chain operations. Responsibilities include data analysis, model development, stakeholder collaboration, and process improvement.

What you'd actually do

  1. Develop and implement models and solutions to solve complex supply chain problems using optimization, machine learning techniques.
  2. Deep dive large supply chain data to explain change, develop insights, and provide recommendations.
  3. Work with stakeholders across organizations (with Operations, Transportation, Inbound) to understand business requirements and translate them into technical specifications for models and algorithms.
  4. Implement process improvement initiatives that drive improvements to the metrics and streamline the Supply Chain.
  5. Communicate technical concepts and results to non-technical stakeholders in a clear and concise manner.

Skills

Required

  • Python
  • ML libraries
  • simulation and predictive models
  • Optimization problem solving
  • Gurobi, Xpress, CPLEX
  • cloud environments like AWS, Azure, Google cloud

Nice to have

  • deep learning models like NNs, CNNs, LSTM
  • RL models
  • Git
  • Confluence

What the JD emphasized

  • ML-based replenishment models
  • optimize our outbound fulfillment
  • supply chain optimization frameworks
  • Five-year working experience on solving supply-chain business problem is highly preferred.

Other signals

  • ML-based replenishment models
  • optimize our outbound fulfillment
  • supply chain optimization frameworks