Data Scientist

Job summary

Develop end-to-end analytics solutions, including statistical and machine learning models, data pipelines, curated datasets, and Power BI dashboards. Translate business requirements into KPIs and actionable insights, collaborate with stakeholders, and maintain data quality while improving and automating reporting.

Job details

Job Title: Data Science AI & Advanced Analytics Location: Toronto, ON (Hybrid - 4 days onsite) Contract: 12 Months (Extension Possible) Role Overview: Seeking an experienced Data Professional to design and deliver end-to-end analytics solutions across data science, advanced analytics, and business intelligence. The role involves leveraging Python, PySpark, SQL, Azure Databricks, and Power BI to analyze large datasets, develop analytical solutions, and deliver actionable business insights through dashboards and reporting. Key Responsibilities Apply statistical analysis, machine learning, and advanced analytics to identify trends, risks, and business opportunities. Develop analytical models, data pipelines, and curated datasets using Python, PySpark, and SQL. Extract, transform, validate, and analyze large datasets using Azure Databricks. Build interactive Power BI dashboards, reports, and data visualizations. Translate complex business requirements into analytical solutions, KPIs, and actionable insights. Collaborate with cross-functional stakeholders to support data-driven decision-making. Ensure data quality, governance, and accuracy across analytical models and reporting solutions. Automate reporting processes and continuously improve analytics solutions. Required Skills & Experience 5+ years of hands-on experience with Python, particularly PySpark and Pandas. 5+ years of strong SQL experience, including complex queries, stored procedures, and data extraction. 5+ years of experience with Azure Databricks and cloud-based data platforms. 5+ years of experience developing Power BI dashboards and visualizations.

What you’ll do

Develop end-to-end analytics solutions, including statistical and machine learning models, data pipelines, curated datasets, and Power BI dashboards. Translate business requirements into KPIs and actionable insights, collaborate with stakeholders, and maintain data quality while improving and automating reporting.

Requirements

Requires at least five years of hands-on experience with Python, particularly PySpark and Pandas, as well as strong SQL skills. Also requires at least five years of experience with Azure Databricks and cloud data platforms, and developing Power BI dashboards and visualizations.

Listed skills

• Python · Preferred
• SQL · Preferred
• Power BI · Preferred
• Machine learning · Preferred
• Data visualization · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• PySpark
• Pandas
• SQL
• Azure Databricks
• Power BI
• Statistical Analysis
• Machine Learning
• Advanced Analytics
• Data Pipelines
• Data Visualization
• Data Quality
• Data Governance
• Reporting Automation
• Business Intelligence

Job areas

• Data & Analytics
• Technology
• Science & Research
• Software

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