Digital Innovation Co-Op – Supply Chain

🕒 April 29

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Logo of Samsara

Samsara

1001 - 5000 employees

Founded 2015

🏢 Enterprise

🚗 Transport

🔐 Security

💰 Seed Round on 2014-08

Enterprise • Transport • Security

Samsara is a technology company that provides a comprehensive operations platform aimed at improving the efficiency, safety, and sustainability of organizations. Their solutions include video-based safety, vehicle telematics, equipment monitoring, workforce applications, and site visibility. Samsara serves a wide range of industries, including transportation, logistics, construction, and government. The platform connects people, systems, and data, enabling organizations to make faster, data-informed decisions. Samsara's Connected Operations technology helps complex organizations operate more effectively by offering real-time GPS, proactive alerts, compliance training, and asset tracking.

📋 Description

• 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 as we scale globally and across new offices.

🎯 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.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options • Professional development stipend • Parental leave plans

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