Research Scientist II
About the role
Join our Outbound Science & Technology team as a Research Scientist. You will work on optimizing and deploying advanced models to enhance our outbound network, focusing on fulfillment, transportation planning, routing, and capacity management.
Responsibilities
- Design and implement optimization models for outbound fulfillment, transportation planning, routing, and capacity management
- Develop and apply advanced operations research techniques including linear programming, mixed-integer programming, heuristics, and simulation
- Create predictive models and machine learning solutions to improve forecasting, allocation, and network efficiency
- Translate business challenges into mathematical formulations and scalable algorithms
- Prototype, test, and validate models using large-scale datasets
- Partner with engineering teams to productionize models and integrate them into operational systems
- Communicate findings, trade-offs, and recommendations clearly to cross-functional stakeholders
- Conduct experimentation and scenario analysis to support strategic decision-making
- Continuously evaluate and improve model performance and operational impact
Requirements
- Minimum MS degree in Operations Research, Data Science, Industrial Engineering, Applied Mathematics, or a related quantitative field
- 2+ years of experience in operations research, data science, or applied optimization
- Strong foundation in mathematical optimization, probability, statistics, and algorithm design
- Experience developing optimization models using tools such as Python, Gurobi, CPLEX, or similar solvers
- Proficiency in Python or similar programming languages for data analysis and model development
- Experience working with large datasets and distributed computing environments
- Strong problem-solving skills with the ability to structure ambiguous problems
- Effective written and verbal communication skills
- Working knowledge of supply chain, logistics, or fulfillment operations
Qualifications
- PhD in Operations Research, Data Science, Industrial Engineering, or a related field (a plus)
- Experience with large-scale transportation or e-commerce fulfillment networks
- Experience productionizing models in cloud-based environments
- Familiarity with simulation frameworks and stochastic optimization
- Experience collaborating with product and engineering teams in an agile environment
Skills
- Advanced knowledge of optimization techniques and algorithms
- Experience with statistical modeling and machine learning
- Strong analytical and problem-solving skills
- Ability to work independently and in a team setting
- Excellent communication and presentation skills
Benefits
Comprehensive medical, dental, vision benefits, in addition to wellness programs and resources. We also offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and discounts including 10% off pet insurance and 20% off at Chewy.com.
Pay
The base salary range for this role is $125,500 - $190,000.00. 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. C08+ positions may also be eligible for annual bonus.
Schedule
This is an exempt salary position with 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.