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 an Associate Director, Data Scientist to join the growing Supply Chain Replenishment Science team. Combining a background in Supply Chain with a deep understanding of data science, you will be a part of a team driving the strategic planning and research initiatives for replenishment optimization. This includes identifying the right inputs to optimize our procurement strategies, and developing the various input models from ground up. Chewy's Supply Chain team operates in a fast-paced environment where every day brings new challenges and new opportunities. You will be responsible for designing and implementing solutions and technologies which will handle the growing business needs and play a key role in redefining what it means to be a world-class Operations Research organization.
What You'll Do:
- Develop and implement models and algorithms to solve complex supply chain problems using machine learning, reinforcement learning, and operations research technologies
- Deep dive large supply chain data to explain change, develop insights, and provide recommendations
- Partner with Supply Chain's functional areas (with Demand Planning, S&OP, Transportation, and Supply Planning) to develop to optimize our Supply Chain across the board
- Implement process improvement initiatives that drive improvements to the metrics and streamline the Supply Chain
What You'll Need:
- An advanced degree (M.S., PhD, or equivalent experience) in Computer Science, Operations Research, Statistics, Applied Mathematics, Engineering, or related field
- 5+ years of hands-on experience in developing and deploying machine learning and/or reinforcement learning models in cloud environments
- 2+ years hands on experience in developing and deploying operations research models
- Practical experience in inventory optimization highly preferred
- 3+ years of experience in leading and managing science or advanced analytics teams
- Python and SQL mastery
- 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
Bonus:
- Strong leadership and communication skills
- Ability to effectively operate both independently and as part of a team
- E-com, Retail or startup experience is a plus
The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate's relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant.
We offer different types of insurance, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.
Salaried-exempt team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.
Pay Range
$156,000-$255,000 USD
Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact [email protected].
If you have a question regarding your application, please contact [email protected].
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