About this role
Who we are
Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.
Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.
About the Role
We are looking for a curious, hands-on Operations Intelligence Co-Op to join our team. You will work alongside data scientists, engineers, and supply chain domain experts on end-to-end projects that span forecasting, automation, and decision support.
This is a role for students who enjoy getting their hands dirty: writing real code, exploring messy operational data, and seeing their work influence actual business processes across planning, procurement, fulfillment, and production.
This is a high-visibility, cross-functional position embedded within the Operations Innovation & Intelligence group.
This is a remote opportunity. This role is open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area.
You Should Apply If
• Are pursuing a BS or MS in Computer Science, Data Science, Industrial Engineering, Supply Chain, Statistics, or a related field.
• Enjoy translating ambiguous real-world problems into structured analytical approaches.
• Have foundational programming skills in Python and an interest in ML or AI applications.
• You are excited to apply AI/ML within real-world operational contexts such as forecasting, inventory optimization, sourcing analytics, logistics intelligence, and revenue enablement.
• Communicate well and can explain your work to non-technical stakeholders.
In This Role, You Will
AI Agent & Automation Development
• Assist in building or testing AI-powered tools that automate supply chain workflows (e.g., PO anomaly detection, logistics exception alerts).
• Help prototype lightweight bots or agents that connect internal tools and enterprise systems (ERP, planning platforms, Salesforce).
• Support evaluation and testing of LLM-based assistants for operational use cases.
Machine Learning & Analytics
• Contribute to ML model development for demand forecasting, inventory analysis, or ris