USA Wilmington, MA - HQ

Staff Data Scientist

Time type: full time Posted on: June 22, 2026 Job requisition id: R7387

What we need

We are seeking an experienced Senior or Principal Data Scientist to lead the development of advanced simulation models that power next-generation robotic warehouse systems. In this role, you will build high-fidelity simulations of large-scale robotic fleets, optimize system performance, and inform strategic product and operational decisions.

This is a highly cross-functional position spanning data science, robotics, operations research, and distributed systems, where your work will directly impact efficiency, throughput, and scalability of real-world automation systems.

What you'll do

Design and develop simulation frameworks for robotic warehouse systems, including robot fleets, inventory flows, task allocation, and human-robot interaction
Build discrete-event and agent-based simulations to model complex, stochastic environments at scale
Develop predictive and prescriptive models to optimize throughput, latency, and resource utilization
Partner with robotics, software, and operations teams to:
Evaluate new algorithms (routing, task assignment, scheduling)
Test system changes before production deployment
Identify bottlenecks and failure modes
Create digital twins of warehouse environments to enable scenario testing and capacity planning
Apply machine learning and statistical techniques to improve simulation realism and calibration
Deliver clear insights and recommendations to technical and executive stakeholders
Establish best practices for model validation, experimentation, and reproducibility

What we're looking for

Required Qualifications

MS or PhD in Computer Science, Data Science, Operations Research, Applied Mathematics, Physics, or related field
Minimum 5 years of experience in the following:
Simulation, modeling, or systems optimization
Complex, distributed systems
Strong experience with:
Discrete-event simulation (DES) or agent-based modeling
Python (NumPy, Pandas, SciPy) and/or simulation frameworks (e.g., SimPy, AnyLogic, Arena, or custom tools)
Solid understanding of:
Probability, stochastic processes, and statistics
Optimization techniques (LP, MIP, heuristics, metaheuristics)
Experience working with large datasets and building data pipelines
Ability to translate real-world system behavior into computational models

Preferred Qualifications

Robotics, warehouse automation, logistics, or supply chain systems
Fleet optimization or multi-agent systems
Reinforcement learning for decision-making
Path planning, task allocation, and scheduling algorithms
Digital twin architecture
Experience with C++ or high-performance systems for large-scale simulation
Knowledge of cloud platforms (AWS, Azure, GCP) and distributed computing
Background in experimentation platforms or A/B testing in operational systems

Principal-Level Expectations (in addition to above)

Define and drive the long-term simulation and modeling strategy
Architect scalable simulation platforms used across the organization
Influence product and operational strategy through data-driven insights
Mentor and grow a team of data scientists and engineers
Serve as a subject matter expert in simulation, optimization, and system modeling

Impact You’ll Have

Shape how robotic systems are designed, tested, and deployed
Improve warehouse throughput, efficiency, and reliability at scale
Enable faster innovation cycles by reducing reliance on physical testing
Drive millions in operational savings and productivity gains

Tech Stack

Python (NumPy, Pandas, SciPy, SimPy)
Data platforms (Snowflake, Databricks)
Visualization (Grafana, Tableau)
Cloud infrastructure (GCP)
Optional: Python, C# and C++

Why Join Us

Work on cutting-edge robotics and automation problems
Solve real-world, large-scale optimization challenges
Collaborate with world-class engineers and scientists
Influence systems deployed in production environments
Competitive compensation, equity, and benefits

Our environment

Up to 10% of travel may be required. Employees must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations.
The employee is responsible for owning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis.

The base range for this position in the posted location is $149,000.00 - $204,600.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.

Staff Data Scientist