Data Scientist

Kelly; Toronto; Hybrid; CAD 90,000 - 130,000; Full time

Job summary

Kelly in Toronto is seeking an experienced Data Science AI & Advanced Analytics professional to design and deliver end-to-end analytics solutions across data science, advanced analytics, and BI. You will leverage Python, PySpark, SQL, Azure Databricks, and Power BI to analyze large datasets, develop analytical solutions, and deliver actionable insights through dashboards and reporting.

The 12-month contract offers a hybrid work arrangement (4 days onsite) with potential extension based on

Qualifications

• 5+ years of hands-on Python experience with PySpark and Pandas.
• 5+ years of SQL experience with complex queries and data extraction.
• 5+ years of experience with Azure Databricks and cloud data platforms.
• 5+ years of building Power BI dashboards and visualizations.

Responsibilities

• Apply statistical analysis, ML, and analytics to identify trends, risks and opportunities.
• Develop analytical models, data pipelines, and curated datasets with Python, PySpark, SQL.
• Extract, transform, validate, and analyze large datasets using Azure Databricks.
• Build interactive Power BI dashboards and reports.
• Translate business requirements into KPIs and actionable insights.
• Collaborate with cross-functional stakeholders to support data-driven decisions.
• Ensure data quality, governance, and accuracy across models and reporting.
• Automate reporting processes and continuously improve analytics solutions.

Skills

Python (PySpark & Pandas)

SQL (advanced)

Azure Databricks

Power BI dashboards

Tools

Azure Databricks

Power BI

PySpark

Job description

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.