Join a global real estate leader in Toronto as a Data Engineer and Scientist hybrid. This role involves advanced analytics and the development of predictive models while operating in a hybrid environment.
The ideal candidate will integrate external market data into our modern data platform and construct robust pipelines. You will focus on creating datasets that drive business intelligence and facilitate machine learning. Your work will span the entire data lifecycle, meaning you’ll work on data ingestion, transformation, and modeling.
Key Responsibilities:
• Blend external and internal datasets for analysis
• Design and implement pipelines using Fabric technologies
• Develop models to predict asset performance and market risks
• Generate actionable insights for various business sectors
• Present complex analyses clearly to non-technical audiences
Requirements:
• 5-8 years experience in Data Science and Engineering
• Skilled in Python, SQL, and data modelin...