Research Scientist III - Bellevue
1 day ago
Job description
Job DescriptionOur Opportunity:
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 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 is seeking a Research Scientist III of a balanced background in optimization and machine learning (ML) to join the Supply Chain Outbound Science team.
This includes finding, constructing and deploying 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 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.
4+ years industry experience on solving business problem in partnership with cross-domain partners.2+ years working experience on solving supply-chain business problem 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 problem using library Gurobi, Xpress, 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.
The base salary range for this role is $149,000 - $245,000.
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.
We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident.
Exempt salary 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.
Chewy is an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic.
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 contactTo access Chewy's California CPRA Job Applicant Privacy Policy, please click here.
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