Senior/Principal Data Scientist - Warehouse Simulation

Who We Are

With its AI‑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.

What We Need

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.

What We Do

We design, test, and deploy advanced robotic systems that improve warehouse throughput, efficiency, and reliability at scale. By 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.

What You’ll Do

• 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.
• 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.

What You’ll Need

Required Qualifications

• MS or PhD in Computer Science, Data Science, Operations Research, Applied Mathematics, Physics, or related field.
• Minimum of 5 years of experience in simulation, modeling, systems optimization, or complex distributed systems (Senior).
• Minimum of 8 years of experience in simulation, modeling, systems optimization, or complex distributed systems (Principal).
• Strong experience with discrete‑event simulation (DES) or agent‑based modeling.
• Proficiency in 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 experience.
• Fleet optimization or multi‑agent systems experience.
• Reinforcement learning for decision‑making.
• Path planning, task allocation, and scheduling algorithm experience.
• 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.

Principal-Level Expectations

• 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.

Tech Stack

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

Travel & Logistics

• Up to 10% travel may be required. Employees must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations.
• The employee is responsible for owning a credit card and managing expenses personally to be reimbursed on a bi‑weekly basis.

Equal Employment Opportunity Statement

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.

Compensation and Benefits

The base range for this position in the posted location is $149,000.00 – $204,600.00; however, base pay offered may vary depending on job‑related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401(k), PTO, and other benefits.