Staff Data Scientist

Exol•Wilmington, MA

2d•$149,000 - $204,600

About The Position

Symbotic is 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.

Requirements

MS or PhD in Computer Science, Data Science, Operations Research, Applied Mathematics, Physics, or related field
Minimum 5 years of experience in Simulation, modeling, or systems optimization
Minimum 5 years of experience in Complex, distributed systems
Strong experience with Discrete-event simulation (DES) or agent-based modeling
Strong experience with Python (NumPy, Pandas, SciPy) and/or simulation frameworks (e.g., SimPy, AnyLogic, Arena, or custom tools)
Solid understanding of Probability, stochastic processes, and statistics
Solid understanding of 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

Nice To Haves

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
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

Responsibilities

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