Jobs in Vaughan

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Within 25 km of Vaughan

Added 6 hours ago
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Teckhorizon Inc

Data Scientist / Data Analytics Specialist

Toronto, ON, Canada

Contract

Within 25 km of Vaughan · About 22.9 km from the city centre

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Job details

Job type: Contract
Apply by: Nov 28, 2026
Posted: Oct 29, 2026

Original job description

Our Client is seeking an experienced Senior Data Scientist / Data Analytics Specialist for a Government of Ontario project. The ideal candidate will bring strong expertise in data analytics, machine learning, cloud technologies, big data frameworks, and .NET development.

Key Responsibilities

Lead the development and delivery of advanced analytics and business intelligence solutions to support data-driven decision-making.
Design, develop, train, test, and deploy predictive models, classification algorithms, and machine learning solutions.
Extract, clean, transform, and analyze large structured and unstructured datasets from multiple sources.
Develop statistical models, data pipelines, and scalable analytics solutions.
Collaborate with Data Architects, ETL Developers, business teams, and stakeholders to gather requirements and deliver actionable insights.
Develop and integrate custom Web APIs and cloud-based applications.
Build dashboards, reports, and data visualizations to communicate analytical findings.
Support solution documentation, testing, deployment, and end-user training.
Participate in Agile development, DevOps practices, and continuous improvement initiatives.

Required Skills & Qualifications

Strong proficiency in SQL, programming, data manipulation, and querying large relational databases.
Minimum 5 years of experience working with cloud environments such as Azure or AWS.
Minimum 5 years of experience with big data frameworks and large-scale data processing.
Hands-on experience developing and deploying machine learning models, predictive algorithms, and classification models.
Experience with deep learning frameworks such as TensorFlow or PyTorch.
Strong experience with ASP.NET, .NET Core, Entity Framework, custom Web API development, and Azure SQL.
Experience with Azure DevOps, CI/CD pipelines, and cloud application development.
Understanding of SaaS, PaaS, and IaaS cloud service models.
Experience working in Agile environments using Kanban or task management boards.
Strong knowledge of statistical analysis, data modelling, ETL processes, and business intelligence.
Excellent communication, analytical, documentation, and stakeholder management skills.

Preferred Qualifications

Experience working on large-scale government or public-sector applications.
Knowledge of Python, R, SAS, SPSS, MATLAB, or similar analytical tools.
Experience with Microsoft Excel, PowerPivot, Access, or VBA.
Familiarity with natural language processing (NLP), data mining, and advanced statistical techniques.

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More about this job

Responsibilities

Lead the development and delivery of analytics, business intelligence, and machine learning solutions, including predictive models, data pipelines, and scalable cloud applications. Analyze large datasets, collaborate with technical and business stakeholders, build dashboards and visualizations, and support testing, deployment, documentation, and user training.

Requirements

Requires at least five years of experience with cloud environments and big data frameworks, along with hands-on machine learning model development and strong SQL and data analytics skills. Candidates should also have experience with .NET and Azure technologies, CI/CD, Agile practices, statistical analysis, ETL, and business intelligence; experience in government projects and familiarity with analytical tools are preferred.

Skills

Data Analytics
Machine Learning
SQL
Cloud Computing
Big Data Processing
Predictive Modeling
Deep Learning
Python
ASP.NET
.NET Core
Entity Framework
Web API Development
Azure DevOps
ETL
Business Intelligence
Statistical Analysis

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Data Analytics
Machine Learning
Predictive Models
Classification Algorithms
Deep Learning
TensorFlow
PyTorch
SQL
Azure
AWS
Big Data
ASP.NET
.NET Core
Entity Framework
Azure SQL
Web APIs
Azure DevOps
CI/CD
Cloud Applications
SaaS
PaaS
IaaS
ETL
Business Intelligence
Python
R
SAS
SPSS
Agile

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