Junior Data Scientist - Toronto, ON - MSON

Job Title: Junior Data Scientist
Job Category: Data Science & Analytics
Location: Toronto, ON
Job Type: Contract
Experience: 0–3 Years
Pay Rate: CAD $400–$600 per day

Note: This job doesn't offer any benefits.

Position Overview

We are seeking a Junior Data Scientist to support data analysis, data quality, metadata management, and reporting using SQL Server, Azure Data Platform, and Power BI.

Required Qualifications

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

• 0–3 years of relevant experience in data analysis, data science, reporting, or data management.

• Basic knowledge of SQL Server and SQL querying.

• Familiarity with Azure data services and data processing concepts.

• Basic understanding of data cataloging, metadata, and data lineage.

• Awareness of data quality assessment and validation techniques.

• Familiarity with Power BI dashboards and reporting.

• Strong analytical, problem-solving, and documentation skills.

• Strong attention to detail and willingness to learn data governance and analytics tools.

Preferred Qualifications

• Exposure to Informatica IDMC or similar data management platforms.

Responsibilities

• Assist with collecting, preparing, cleaning, and validating datasets from multiple sources.

• Write SQL queries to retrieve, transform, and analyze data.

• Support data integration and analysis activities within the Azure Data Platform.

• Assist with maintaining data catalogs, business glossaries, and data marketplace content.

• Support metadata management and data lineage documentation using Informatica IDMC or related tools.

• Perform data quality checks to identify missing, inconsistent, duplicate, or inaccurate records.

• Develop and maintain Power BI reports, dashboards, and visualizations.

• Document data definitions, transformation rules, and data quality requirements.

• Collaborate with data engineers, analysts, and business stakeholders to understand reporting needs.

• Assist with troubleshooting data discrepancies and maintaining data documentation.

• Follow established data governance, security, and access management standards.

Expected Deliverables

• Cleaned and validated datasets.

• SQL queries and data quality reports.

• Updated metadata and data catalog documentation.

• Power BI dashboards and reports.

• Data lineage and data validation documentation.