Senior Databricks Data Scientist
Raise
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 challengesBuild Databricks ETL/ELT pipelines and scalable data modelsIntegrate Oracle Cloud, SAP, ADW, Dataflow, and DataverseOperationalize predictive, reporting, and optimization data productsMaintain solution quality, governance, documentation, and stakeholder communicationRequirements:
Five to seven years of relevant experienceBachelor’s degree in a related disciplineExpert Python, PySpark, Databricks, and advanced SQL skillsExperience with machine learning and unstructured data analysisKnowledge of SCM, procurement, SAP, Oracle Cloud, and oil and gasApply advanced analytics, Databricks engineering, and Supply Chain expertise to deliver trusted enterprise data products.
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Develop Supply Chain analytics solutions for business challengesBuild Databricks ETL/ELT pipelines and scalable data modelsIntegrate Oracle Cloud, SAP, ADW, Dataflow, and DataverseOperationalize predictive, reporting, and optimization data productsMaintain solution quality, governance, documentation, and stakeholder communicationRequirements:
Five to seven years of relevant experienceBachelor’s degree in a related disciplineExpert Python, PySpark, Databricks, and advanced SQL skillsExperience with machine learning and unstructured data analysisKnowledge of SCM, procurement, SAP, Oracle Cloud, and oil and gasApply advanced analytics, Databricks engineering, and Supply Chain expertise to deliver trusted enterprise data products.
#J-18808-Ljbffr
Vacancy posted 1 hour ago
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