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 (Winnipeg)
🏢 Raise
📍 Winnipeg