Data Scientist – Simulation; Senior - Principal

Who We Are

With its A.I.

-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system – reinventing warehouse automation for increased efficiency, speed and flexibility.

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.

We design, test, and deploy advanced robotic systems that improve warehouse throughput, efficiency, and reliability  reducing reliance on physical testing, we accelerate innovation cycles and drive significant operational savings and productivity gains across real‑world production environments. Our team tackles complex automation and optimization challenges alongside world‑class engineers and scientists, with the opportunity to directly influence cutting‑edge systems deployed in the field.

• 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, including routing, task assignment, and 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.

• MS or PhD in Computer Science, Data Science, Operations Research, Applied Mathematics, Physics, or a related field.
• Minimum of 5 years (Senior) or minimum of 8 years (Principal) experience in simulation, modeling, or systems optimization.
• Experience working with complex, distributed systems.
• Strong experience with discrete‑event simulation (DES) or agent‑based modeling.
• Proficiency in Python (Num Py, Pandas, Sci Py) and/or simulation frameworks such as Sim Py, Any Logic, Arena, or custom tools.
• Solid understanding of probability, stochastic processes, and statistics.
• Knowledge of optimization techniques including linear programming, mixed‑integer programming, heuristics, and meta heuristics.
• Experience building data pipelines and working with large datasets.
• Ability to translate real‑world system behavior into computational models.

• Background in robotics, warehouse automation, logistics, or supply chain systems.
• Experience with fleet optimization or multi‑agent systems.
• Knowledge of reinforcement learning for decision‑making.
• Familiarity with path planning, task allocation, and scheduling algorithms.
• Experience with digital twin architecture.
• Knowledge of C++ or high‑performance systems for large‑scale simulation.
• Experience with cloud platforms such as AWS, Azure, or 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.

• Pytho…