Research Scientist II

Key Skills

Aartificial intelligence, Analytical and Problem solving, AWS, Azure, CNNs, Confluence, Data science techniques, Git, Google Cloud Platform (GCP), Machine learning techniques, Python Programming, Supply Chain Management

Job Description

Chewy is focused about our customers experience. We move fast to rethink and redesign our supply chain optimization frameworks from ground up. If the opportunity to build a best-in-class supply chain network, make a large business impact, and deliver large scale savings intrigue you, we will want to talk to you!

Chewy's is seeking a Research Scientist II of a balanced background in optimization, machine learning (ML), and simulation to join the Supply Chain Outbound Science team. You will be instrumental in driving the transformation towards ML-based replenishment models. The goal is to ensure adaptability to constant changes and complexity in our supply chain systems. This includes finding, constructing and deploying the right models from the ground up to optimize our outbound fulfillment for customer orders. Chewy’s Supply Chain team operates in a fast-paced environment where every day brings new challenges and new opportunities.

What You’ll Do:

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

What You’ll Need:

• An advanced degree (M.S., PhD (preferred), or equivalent experience) in Data Science, Operations Research, Applied Mathematics, or related fields.
• Strong background in Optimization and machine learning with practical experience in developing and deploying models in cloud environments like AWS, Azure, Google Cloud, etc.
• Two years working experience on solving supply chain business problems is highly preferred.
• Prior experience working with deep learning models like NNs, CNNs, LSTM, etc. and RL models, highly preferred.
• Proficiency in Python coding including ML libraries
• Proficiency in solving optimization problems using Gurobi, Xpress, or CPLEX
• Ability to use collaborative programming tools (Git, Confluence, etc.)
• Ability to translate complex data sets and research into simple business recommendations.
• Ability to manage multiple projects and prioritize competing requirements.