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, and 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 5 years of experience in simulation, modeling, or systems optimization of complex, distributed systems.
• Strong experience with: discrete‑event simulation (DES) or agent‑based modeling, 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, statistics, optimization techniques (LP, MIP, heuristics, meta heuristics), and experience building data pipelines with large datasets.
• Ability to translate real‑world system behavior into computational models.

• Experience with robotics, warehouse automation, logistics, or supply chain systems.
• Fleet optimization or multi‑agent systems experience.
• Knowledge of reinforcement learning for decision‑making, path planning, task allocation, and scheduling algorithms.
• Digital twin architecture experience.
• Proficiency in 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
• Optional: C#, C++

We are an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.