Data Scientist – Simulation (Senior - Principal)

About the role

Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. The company reinvents the warehouse as a strategic asset for the world’s largest retail, wholesale, and food & beverage companies, solving complex distribution challenges with next-gen technology, high-density storage, and machine learning.

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.
• 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 of 5 years (Senior) or minimum of 8 years (Principal) of experience in 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.

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.

Skills

• Python (NumPy, Pandas, SciPy, SimPy).
• Data platforms (Snowflake, Databricks).
• Visualization (Grafana, Tableau).
• Cloud infrastructure (GCP).

Benefits

Base range for this position in the posted location is $149,000.00 - $204,600.00. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.