Research Scientist III

Our Opportunity:

Chewy is growing at a rapid pace. Our approach of thinking about our customers first and ability to move fast has created an opportunity to rethink and redesign our supply chain optimization frameworks from ground up. If the opportunity to create 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 Supply Chain Research and Planning Team is seeking a Research Scientist III of a strong background in machine learning (ML) with experience in reinforcement learning (RL) to join the Supply Chain Replenishment 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 right models from the ground up to optimize our procurement strategies. 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 machine learning techniques and other relevant artificial intelligence (AI) techniques.
• Deep dive large supply chain data to explain change, develop insights, and provide recommendations.
• Work with stakeholders across organizations (with Demand Planning, 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 Computer Science, Operations Research, Applied Mathematics, or related fields.
• Strong background in machine learning with practical experience in developing and deploying machine learning models in cloud environments like AWS, Azure, Google cloud, etc.
• Prior experience working with deep learning models like NNs, CNNs, LSTM, etc., and RL models, highly preferred.
• Proficiency in Python ML libraries such as TensorFlow, PyTorch, PySpark, etc.
• Knowledge and experience in supply chain, highly preferred.
• 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.