Develop and implement the automated Supplier approval process using Smartsheet.
Collect, clean, and analyze supplier data related to quality, delivery, audits, corrective actions, and performance trends.
Analyze historical supplier performance data to identify leading risk indicators.
Collaborate with cross-functional stakeholders to translate business risk requirements into analytical solutions.
Assist in the development and testing of AI/ML models used to assess and score supplier risk.
Requirements
Currently pursuing a bachelor’s or master’s degree in one of the following fields or related disciplines: Data Science, Computer Science, Industrial or Systems Engineering, Supply Chain Management, Statistics, Mathematics, or Analytics.
Experience with or coursework in data analysis and basic machine learning concepts.
Exposure to data visualization tools (Power BI, Tableau, Python visualization libraries, or similar).
Strong analytical, problem-solving, and organizational skills.
Ability to communicate findings clearly to both technical and non-technical audiences.
Tech Stack
Python
Tableau
Benefits
Hands-on experience developing an AI-driven business solution.
Practical exposure to supplier quality and supply chain risk management.
Experience collaborating with technical and business stakeholders.
Portfolio-ready project demonstrating applied AI in an enterprise setting.