Staff 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.

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 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 for

Required 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++

Why Join Us

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 benefits

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.

About Symbotic

Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world’s largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visit www.symbotic.com .

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.

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.