Staff Data Scientist

About the role

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.

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

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
• 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

Benefits

Competitive compensation, equity, and benefits. Includes medical, dental, vision, disability, 401K, PTO and/or other benefits.