I&IT Data Scientist I

Role Overview

The Enterprise AI & Data Centre of Excellence (CoE) within I&IT delivers trusted data, analytics, and AI solutions that help Metrolinx make better decisions and improve business outcomes. As a Data Scientist, you will partner with business stakeholders and technical teams to analyze data, develop machine learning models, build data pipelines, and generate insights that support strategic and operational decision-making.

What You Will Do

Design, develop, and maintain scalable data pipelines and analytical solutions using Microsoft Azure, Databricks Lakehouse, Azure AI Foundry, Unity Catalog, Delta Lake, and Azure Data Lake Storage to support enterprise analytics, artificial intelligence, and machine learning initiatives.

Why It Might Be a Fit

This role offers the opportunity to work with modern data and AI technologies while contributing to enterprise-wide innovation and continuous improvement.

Requirements

• Completion of a Degree in Statistics, Applied Math, Engineering, Computer Science, or a related discipline
• Demonstrated experience in Data Science, Advanced Analytics, Machine Learning, Predictive Modeling, or related disciplines
• Proficiency in Python, SQL, PySpark/Spark, and large-scale data processing
• Hands-on experience with Microsoft Azure, Azure Machine Learning, Databricks Lakehouse, Microsoft Fabric, Azure Data Lake Storage, and Azure AI services
• Experience developing and deploying machine learning, forecasting, predictive, and prescriptive analytics models
• Strong knowledge of statistical analysis, including hypothesis testing, experimentation, and A/B testing
• Experience with data engineering, ETL/ELT pipelines, feature engineering, and data quality management
• Demonstrated applied machine learning experience, including time-series forecasting
• Experience with customer segmentation, profiling, clustering, association analysis, and basket analysis
• Knowledge of MLOps, LLMOps, Generative AI, RAG, and AI Agent frameworks is an asset
• Experience working with complex enterprise datasets and distributed computing environments

Benefits

• Dental insurance
• Vision insurance
• Accommodation for job applicants with disabilities
• Equity, diversity, and inclusion
• Go Tech Women affinity group for women in Information Technology