What we needWe 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 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 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
What we're looking forRequired Qualifications- MS or PhD in Computer Science, Data Science, Operations Research, Applied Mathematics, Physics, or related field
- Minimum 5 years of experience in the following:
- 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
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
- Background in experimentation platforms or A/B testing in operational systems
Principal-Level Expectations (in addition to above)- 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
Impact You'll Have- 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
Tech Stack - Python (NumPy, Pandas, SciPy, SimPy)
- Data platforms (Snowflake, Databricks)
- Visualization (Grafana, Tableau)
- Cloud infrastructure (GCP)
- Optional: Python, C# and C++
Our environment- Up to 10% of 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.
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, 401K, PTO and/or other benefits.
