Posted yesterday
Data Scientist
@ Kelly
Toronto, Ontario
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.
Requirements summary:
- Translate complex business requirements into analytical solutions, KPIs, and actionable insights.
- 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.
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-11-09
- First seen by our source
- 2026-11-11
- Source record updated
- 2026-11-11
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Kelly
| Field | Value |
|---|---|
| Open jobs on Jobsy | 10 |
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.
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