Research Scientist II
Research Scientist II
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Job Description
At Chewy it is our mission to become the most trusted and convenient online destination for pet parents and our partners vets and service providers alike. Our success is measured by the happiness of the people and pets we serve not simply by the amount of pet supplies we deliver. Thats why we continue to think of outside-the-Chewy-box ways to delight surprise and thank our loyal pet lovers!
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.
Chewys Supply Chain Research and Planning Team is seeking a Research Scientist 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. Chewys Supply Chain team operates in a fast-paced environment where every day brings new challenges and new opportunities.
What Youll 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 Youll 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.
Employment Type
Full Time
