Digital Innovation Co-Op – Supply Chain

Summary

Samsara is a pioneer of the Connected Operations™ Cloud, helping organizations improve their physical operations through IoT data. They are seeking a curious, hands-on Operations Intelligence Co-Op to work alongside data scientists and engineers on projects related to forecasting, automation, and decision support in supply chain operations.

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

Skills

• 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
• 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

Qualifications

Must Haves

• 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

Benefits

• Performance-based bonus/variable pay
• Equity (for eligible roles)
• Flexible, employee-led remote model
• Professional development stipend
• Comprehensive health and parental leave plans