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Added 44 mins ago
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Senior Automated Test Developer (Contract Until March 2028)
TVO
Toronto, ON
- Full-time
Position Title: Senior Automated Test Developer
Added 1 hour ago
Senior Data Scientist
Helcim Inc
Calgary, AB
Cloud & Modern Data Stack: Experience with GCP and BigQuery (or equivalent AWS/Azure experience). Familiarity with dbt is a strong plus.
Added 1 hour ago
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Applied AI Engineer
Luxoft
Canada
- Full-time
…into 2028. Our stack: Ruby on Rails, Node.js/TypeScript and Python services, PostgreSQL, Snowflake, and AWS. We're looking for an applied AI engineer to build AI with real, measurable…
Added 3 hours ago
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Senior Data Developer
Plusgrade
Montreal, QC · CAN - Montreal
- Full-time
Python · SQL · Java · Scala · Snowflake · Airflow · Dagster · Kafka · Kinesis · AWS (S3, Glue, Lambda) · Terraform · Docker · Kubernetes
Added 3 hours ago
TI
Data Scientist / Data Analytics Specialist
Teckhorizon Inc
Toronto, ON
- Contract
Minimum 5 years of experience working with cloud environments such as Azure or AWS.
Added 3 hours ago
SG
Sr. Forward Deployed Engineer
Software Guidance & Assistance, Inc. (SGA, Inc.)
Mississauga, ON
- Full-time
Seeking a Senior Forward Deployed Engineer (FDE) with deep Java and Python technology expertise to work directly with our clients in the Spread Products space.
Added 3 hours ago
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Senior BI Platform Operations Engineer
Luxoft
Toronto, ON
- Full-time
…our enterprise Business Intelligence platforms and associated AWS…
Added 4 hours ago
O
Senior Agentic AI Developer
OSEDEA
Montreal, QC
- Full-time
We're looking for a Senior Agentic AI Developer who can turn these capabilities into reliable, production-ready solutions for our clients.

Teckhorizon Inc

Data Scientist / Data Analytics Specialist

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 28, 2026
Posting language: English
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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