Senior Data Scientist - Toronto, ON - MSON


Toronto, ON
Toronto, Ontario
Locations: Toronto, Brampton, Burlington, Hamilton, Mississauga
Posted On: October 14, 2026
Last Day to Apply: October 21, 2026
Pay: $600 to $900 per day

Job Title: Senior Data Scientist
Job Category: Data Science & Analytics
Location: Toronto, ON
Job Type: Contract
Experience: 3–9 Years
Pay Rate: CAD $600–$900 per day

Note: This job doesn't offer any benefits.

Position Overview

We are seeking a Senior Data Scientist to analyze complex datasets, develop data-driven insights, and support enterprise data management initiatives using Azure Data Platform, SQL Server, Power BI, and Informatica IDMC.

Required Qualifications

  • 3–9 years of relevant experience in data science, analytics, data management, or data engineering.

  • Strong SQL Server and SQL development skills.

  • Experience with Azure Data Platform and enterprise data processing.

  • Experience with Power BI report and dashboard development.

  • Knowledge of Informatica Intelligent Data Management Cloud (IDMC) and enterprise data management capabilities.

  • Strong understanding of metadata management, data lineage, and data quality.

  • Experience with data catalog and data marketplace concepts.

  • Proficiency in data analysis, data validation, and troubleshooting.

  • Strong analytical, communication, and stakeholder-management skills.

Preferred Qualifications

  • Bachelor's or master's degree in Data Science, Computer Science, Statistics, Information Systems, or a related field, or equivalent experience.

  • Experience supporting enterprise data governance and data quality initiatives.

  • Experience working with large datasets and cross-functional technical teams.

  • Relevant Azure, Power BI, or Informatica certifications.

Responsibilities

  • Analyze complex datasets to identify trends, patterns, anomalies, and actionable insights.

  • Develop and optimize SQL queries, data transformations, and analytical workflows.

  • Work with Azure Data Platform services to support data integration, processing, and analysis.

  • Implement data quality checks, validation rules, and monitoring processes.

  • Manage and improve metadata, data lineage, and data catalog documentation.

  • Use Informatica IDMC and related tools to support enterprise data management and governance.

  • Support the implementation and maintenance of data catalogs and data marketplaces.

  • Design, develop, and optimize Power BI dashboards, reports, and analytical visualizations.

  • Collaborate with data engineers, data architects, governance teams, and business stakeholders to define data requirements.

  • Investigate data discrepancies, identify root causes, and recommend corrective actions.

  • Establish reusable data validation procedures, documentation standards, and analytical practices.

  • Ensure data processing and reporting activities follow security, privacy, and governance requirements.

  • Present findings and recommendations to technical teams and business stakeholders.

Expected Deliverables

  • Analytical datasets and SQL-based data transformations.

  • Data quality assessments and validation reports.

  • Data catalog, metadata, and lineage documentation.

  • Power BI dashboards and business reports.

  • Data analysis findings and recommendations.

  • Documentation supporting enterprise data governance initiatives.

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