Digital Innovation Co-Op – Supply Chain

Samsara

14h•Remote

About The Position

Samsara is seeking a curious, hands-on Operations Intelligence Co-Op to join their team. This role involves working with data scientists, engineers, and supply chain experts on end-to-end projects focused on forecasting, automation, and decision support. It's designed for students who want to write code, analyze operational data, and see their work impact business processes in planning, procurement, fulfillment, and production. This is a high-visibility, cross-functional position within the Operations Innovation & Intelligence group and is a remote opportunity open to candidates residing in the US, excluding the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area.

Requirements

Currently enrolled in an accredited BS or MS program (Computer Science, Data Science, Industrial/Supply Chain Engineering, Statistics, or related).
Proficiency in Python for data analysis (pandas, NumPy, scikit-learn or equivalent).
Familiarity with SQL or experience querying structured datasets.
Comfort working with ambiguous problems and iterating toward solutions.
Strong written and verbal communication skills.

Nice To Haves

Coursework or project experience in machine learning, NLP, or operations research.
Exposure to LLMs or generative AI tools (e.g., OpenAI, Anthropic Claude, LangChain).
Familiarity with supply chain concepts: demand planning, inventory, procurement, or logistics.
Experience with data visualization (Tableau, Power BI, matplotlib, Plotly).
Prior internship, research, or project experience in a data-focused role.
Knowledge of ERP systems (NetSuite, SAP) or CRM platforms (Salesforce) is a plus but not required.

Responsibilities

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.
Contribute to ML model development for demand forecasting, inventory analysis, or risk detection.
Explore and clean supply chain datasets; perform exploratory data analysis to surface insights.
Build dashboards or notebooks that make model outputs accessible to business teams.
Partner with stakeholders in Planning, Procurement, Fulfillment, and Production Engineering to understand pain points and data needs.
Participate in team standups, design reviews, and sprint ceremonies.
Present findings and project updates to the team and business partners.
Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.