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.

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