Data Scientist

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.

• 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

• 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 and 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 (e.g., Sim Py, Any Logic, Arena, or custom tools)
• Solid understanding of probability, stochastic processes, and statistics
• Experience with optimization techniques (LP, MIP, heuristics, meta heuristics)
• Experience working with large datasets and building data pipelines
• Ability to translate real‑world system behavior into computational models

• Robotics, warehouse automation, logistics, or supply chain systems experience
• Fleet optimization or multi‑agent systems experience
• Reinforcement learning for decision‑making
• Path planning, task allocation, and scheduling algorithms expertise
• Digital twin architecture experience
• 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

• 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

• Python (Num Py, Pandas, Sci Py, Sim Py)
• Data platforms (Snowflake, Databricks)
• Visualization (Grafana, Tableau)
• Cloud infrastructure (GCP)
• Python, C#, and C++ (optional)

• 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…