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.