Use SQL and Python to optimize inventory analytics for Parts for Trucks across Dartmouth, Moncton, GTA, Calgary, or Edmonton. Build forecasting insights that guide replenishment decisions.

Parts for Trucks seeks an experienced Data Scientist specializing in Inventory Analytics. You will analyze operational data and support data-driven decisions across its national branch and distribution network. The work combines forecasting, inventory optimization, Power BI dashboards, and cross-functional communication.

Key Responsibilities:

- Analyze inventory, sales, purchasing, and replenishment data
- Recommend inventory levels, safety stock, and reorder points
- Build forecasting and optimization models using Python
- Create SQL and Power BI decision-support tools




- Partner with Inventory Management, Purchasing, Operations, and IT

Requirements:

- Degree in data science, supply chain, or related field
- Three or more years in inventory analytics or related disciplines
- Robust software modeling experience for operational data
- Advanced SQL skills for extraction, validation, and analysis
- Experience with forecasting, replenishment, and inventory optimization

Apply inventory analytics, Python modeling, SQL, and Power BI expertise to improve Parts for Trucks decisions nationally.

📌 Inventory Data Scientist Forecasting (Dartmouth)
🏢 Parts for Trucks
📍 Dartmouth