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Sr. Data Scientist

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Randstad

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Location:
Canada , Toronto

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

57.46 - 67.04 USD / Hour
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Job Description:

We are seeking a highly experienced Senior Data Scientist to lead the development and implementation of AI-powered analytics solutions for a 36-month engagement. This role is central to enhancing predictive capabilities and optimizing operational decision-making within a transit and services context. You will leverage Azure Databricks, Apache Spark, and Azure Open AI to extract actionable insights from large-scale datasets, ensuring a seamless and efficient user experience. Duration: 36-month contract (Immediate start) Location: Toronto (Hybrid – Minimum 2 days onsite per week) Rate: $57.46-$-67.04/hr

Job Responsibility:

  • Design, develop, and deploy machine learning models for predictive analytics, demand forecasting, and service reliability using Azure Machine Learning (AML) and Azure Open AI
  • Transform and process large-scale structured and unstructured datasets utilizing Azure Databricks and Apache Spark
  • Build, maintain, and optimize robust ETL pipelines within a data lake and data warehousing environment
  • Conduct exploratory data analysis (EDA), feature engineering, and statistical modeling to derive insights from complex data models
  • Create high-impact dashboards and reports using Power BI to communicate findings to stakeholders and support data-informed decision-making
  • Partner with cross-functional teams to identify business needs while ensuring best practices in data governance, model performance, and scalable architecture
  • Produce detailed technical designs, functional specifications, and status reports throughout the project lifecycle

Requirements:

  • 5+ years of dedicated experience in Data Science, Machine Learning, and advanced analytics
  • 5+ years of hands-on experience with Azure SQL Server, Azure Synapse, and Azure Databricks
  • 5+ years of proficiency in SQL and Python, with expert-level skills in Apache Spark for big data processing
  • Proven track record of building and deploying models in Azure Machine Learning and leveraging Azure Open AI services
  • Expertise in Power BI or similar tools for executive-level reporting and data storytelling
  • Solid understanding of data lake architecture, data modeling, and big data solution principles
  • Strong problem-solving abilities and familiarity with AODA and the Ontario Human Rights Code (OHRC)
  • Certifications (Desirable): Azure Data Engineer Associate or Azure AI Engineer Associate

Nice to have:

  • Azure Data Engineer Associate
  • Azure AI Engineer Associate
What we offer:
  • 36-month contract
  • Immediate start
  • Project Longevity: A 36-month term offers exceptional stability and the opportunity to see complex AI initiatives from conception to long-term implementation
  • Modern AI Stack: Gain extensive experience working with the latest Azure Open AI and Databricks features in a production environment
  • Strategic Influence: Directly impact operational efficiency and transit experiences through high-visibility predictive modeling
  • Professional Growth: Collaborate with multi-disciplinary teams and multiple stakeholders in a mature cloud computing and data virtualization ecosystem

Additional Information:

Job Posted:
May 05, 2026

Expiration:
June 21, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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