Digital Innovation Co-Op – Supply Chain

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 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.

Cross-Functional Collaboration

• 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.

Minimum 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.

Preferred Qualifications

• 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.

What Success Looks Like

• Delivered a scoped project or feature that the team can build on after your rotation.
• Demonstrated ability to work independently while asking for help when needed.
• Clear and concise communication of findings to technical and business audiences.
• Curiosity, initiative, and a bias toward getting things done.

What You’ll Learn & Take Away

This co-op is designed to give you genuine exposure to applied AI/ML in an operational setting. By the end of your rotation, you can expect to:

• Have shipped or meaningfully contributed to a production-grade or production-bound AI/ML feature.
• Understand how AI and data science plug into real supply chain processes at a high-growth public company.
• Build a network across supply chain, engineering, finance, and operations functions.
• Walk away with a strong portfolio project and mentorship from experienced practitioners.