Digital Innovation Co-Op – Supply Chain
New
S
SamsaraConnected Operations Cloud
US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro AreaInternshipEntry
Salary16.36 - 24.75 USD per hour
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Job Details
- Required Skills
- PythonSQLMachine LearningMicrosoft Power BINumpySalesforceSAPTableauPandasNetSuitescikit-learnNLPGenerative AILangChain
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.
- Coursework or project experience in machine learning, NLP, or operations research (Preferred).
- Exposure to LLMs or generative AI tools (e.g., OpenAI, Anthropic Claude, LangChain) (Preferred).
- Familiarity with supply chain concepts: demand planning, inventory, procurement, or logistics (Preferred).
- Experience with data visualization (Tableau, Power BI, matplotlib, Plotly) (Preferred).
- Prior internship, research, or project experience in a data-focused role (Preferred).
- Knowledge of ERP systems (NetSuite, SAP) or CRM platforms (Salesforce) is a plus but not required (Preferred).
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.
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