Build scalable Supply Chain data products with Databricks, Python, and PySpark in a hybrid contract based in Calgary, Edmonton, or North York. This 12-month assignment may extend, with office days Monday, Tuesday, and Thursday.

Raise is hiring an experienced Data Scientist for its client’s Supply Chain Management Data, Innovation & Analytics team. The work combines data science, engineering, modeling, and product delivery. You will transform complex SCM data into governed, actionable insights supporting supplier performance, spend visibility, procurement, and operational efficiency.

Key Responsibilities:

- Develop Supply Chain analytics solutions for business challenges
- Build Databricks ETL/ELT pipelines and scalable data models
- Integrate Oracle Cloud, SAP, ADW, Dataflow, and Dataverse




- Operationalize predictive, reporting, and optimization data products
- Maintain solution quality, governance, documentation, and stakeholder communication

Requirements:

- Five to seven years of relevant experience
- Bachelor’s degree in a related discipline
- Expert Python, PySpark, Databricks, and advanced SQL skills
- Experience with machine learning and unstructured data analysis
- Knowledge of SCM, procurement, SAP, Oracle Cloud, and oil and gas

Apply advanced analytics, Databricks engineering, and Supply Chain expertise to deliver trusted enterprise data products.

📌 Senior Databricks Data Scientist (Calgary)
🏢 Raise
📍 Calgary