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Added 12 mins ago
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Consultant ou consultante Azure DevOps
Alithya
ON · Ontario, Canada
- Full-time
As an Azure Cloud & DevOps Consultant, you’ll support the design, deployment, and maintenance of enterprise cloud solutions within a complex banking environment. You’ll work closely with…
Added 12 mins ago
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Senior Identity Security Engineer
CPKC
Calgary, AB
- Full-time
…and identity integrations using Active Directory, Entra ID/Azure AD, LDAP, cloud platforms, applications, databases, and network…
Added 12 mins ago
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Senior AI Developer / Generative AI Engineer
ThoughtStorm
Toronto, ON
- Contract
Strong hands-on experience with Microsoft Azure AI Foundry (Microsoft Foundry), Azure Machine Learning (Azure ML), Azure OpenAI, and Azure AI Services for enterprise AI solution development.
Added 12 mins ago
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Senior Consultant or Manager, Zero Trust Architecture
Deloitte
Toronto, ON
- Full-time
Applications and Workloads: application access control, Continuous Threat Exposure Management (CTEM) and cloud-native security in Azure, Amazon Web Services (AWS) or Google Cloud
Added 12 mins ago
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Media Production Systems Architect (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
Experience with Cloud provider (Azure, AWS, Google, or other).
Added 43 mins ago
AI
QA Automation Engineer – Selenium & Playwright
Apptoza Inc.
Toronto, ON
- Contract
Integrate automated tests with CI/CD pipelines using tools such as Jenkins or Azure DevOps.
Added 43 mins ago
ST
Multiple Automation Tester Role
Silverlink Technologies
Brampton, ON
- Contract
2. Automation Developer (Python & Cross-Platform SDET)
Added 43 mins ago
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Senior Engineering Manager
TekRek
Toronto, ON
- Full-time
…runs on React, .NET, and API-based microservices hosted on Azure, with payments and financial workflows central to the…
Added 58 mins ago
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Analyst - Information Security
Innergex
Longueuil, QC
- Full-time
Knowledge of Azure or AWS cloud environments.
Added 1 hour ago
TB
Senior DevOps Engineer (SRE / Platform Engineering)
TLNT Bridge Recruiting
Vancouver, BC
- Full-time
Exposure to cloud platforms such as AWS, Azure or GCP. Multi-cloud experience is an asset.
Added 1 hour ago
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Senior Associate SIEM Implementation
PwC
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
Experience with cloud platforms including Azure, GCP, and AWS.
Added 1 hour ago
DevOps Engineer - Game Developer Experience
Electronic Arts
Vancouver, BC
Reporting to a Senior Engineering Manager within the Game Developer Experience (GDX) team, you'll design, build, and maintain enterprise-grade development pipelines for EA's video games and…
Added 1 hour ago
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AI Governance & Risk Manager
General Dynamics Missions System International
Ottawa, ON
- $120,000 to $160,000 CAD / year
- Full-time
Added 1 hour ago
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Azure Databricks Platform engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Job Title: Azure Databricks Platform engineer
Added 1 hour ago
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DevOps Engineer
TEEMA
Montreal, QC
- $65 to $77 CAD / hour
- Contract
Senior DevSecOps Developer – CIAM / Identity & Access Management
Added 1 hour ago
AI Engineer
Eclipse Automation
Cambridge, ON
Use Git-based workflows, pull requests, automated quality checks, and CI/CD through Azure DevOps, GitHub Actions, or similar platforms.
Added 1 hour ago
TB
Senior DevOps Engineer (SRE / Platform Engineering)
TLNT Bridge Recruiting
Vancouver, BC
- $113,900 to $147,000 CAD / year
- Full-time
Exposure to cloud platforms such as AWS, Azure or GCP. Multi-cloud experience is an asset.
Added 1 hour ago
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Senior Machine Learning Engineer
TEEMA
Toronto, ON
- Contract
Advanced hands-on experience with Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, MLOps, CI/CD, containers, APIs, automation, model deployment, monitoring and observability.
Added 1 hour ago
ZS
DevOps Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Have 10 plus years of experience as DevOps expert in Cloud technologies primarily Microsoft Azure and AWS
Added 1 hour ago
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Senior Applied AI Scientist, Advanced Analytics & Modelling - Customer Intelligence
Canadian Tire Corporation
Toronto, ON
- Full-time
Experience with Azure and Databricks, including MLflow and related model development toolkits.
Added 1 hour ago
CT
Senior ML/AI Engineer, Advanced Analytics & Modelling - Customer Intelligence Platforms
Canadian Tire Corporation
Toronto, ON
- Full-time
Experience with Azure and Databricks, including MLflow, Azure Data Lake Storage, Azure Data Factory, Synapse and related data and deployment services.
Added 1 hour ago
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Manager, DevOps Engineering
EllisDon
Mississauga, ON
- Full-time
Establish repeatable standards, self-service patterns and paved roads that reduce manual effort and improve developer productivity.
Added 2 hours ago
Senior Forward Deployed Engineer (Gemini Enterprise)
Welcome to the Jungle
Montreal, QC
Deploy on cloud infrastructure (GCP, Azure, or AWS) using containers, serverless, and infrastructure-as-code.
Added 2 hours ago
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RQ11674 - Systems Testing/QA Specialist - Senior
Maarut
Toronto, ON
- Contract
Added 2 hours ago
GD
AI Governance & Risk Manager
General Dynamics Mission Systems–Canada
Ottawa, ON
- $120,000 to $160,000 CAD / year
- Full-time

Flexstaf I.T. Inc.

Senior Data Science Developer

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Contract

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Job details

Job type: Contract
Apply by: Dec 4, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

Position: Senior Data Science Developer

Requisition Number: RQ00242

Type: Contract

Duration: 6 months

Location: Toronto

Work Schedule: Hybrid

Work Model: 3 days onsite / 2 days remote

MANDATORY SKILLS

Deep expertise in statistics, probability, predictive modelling and machine learning, including classification, regression, clustering, feature engineering, experimentation, model selection, validation, bias/variance, overfitting and statistical inference.
Advanced hands-on proficiency in Python, SQL and ML frameworks, with demonstrated experience building, tuning and validating models using real-world datasets. Tech stack: Python, SQL, Power BI, VSCode, Git, Jira, Azure (OpenAI, Foundry and ML Studio), Databricks.
Strong hands-on experience with Azure Machine Learning and Microsoft Foundry/Azure AI Foundry, including end-to-end ML pipelines covering experimentation, training, evaluation and operationalization.

Public Sector Experience: preferred

SENIOR DATA ANALYTICAL SPECIALIST/SCIENTIST DESCRIPTION

The Senior Data Analytical Specialist/Scientist will develop advanced analytics, predictive models, and AI-driven insights to address priority business opportunities. The role will apply statistical, machine learning, and analytical techniques to enterprise data, while supporting data maturity assessments, model validation, business-value analysis, and the identification of high-value AI and analytics opportunities.

KEY RESPONSIBILITIES

Design and develop advanced analytics, predictive models, and machine learning solutions for priority business use cases.
Conduct exploratory data analysis to identify patterns, trends, relationships, and opportunities for improved decision-making.
Translate business problems into appropriate analytical and modelling approaches, defining hypotheses, methodologies, and success measures.
Assess the quality, availability, and readiness of data required for AI and advanced analytics use cases.
Support enterprise data maturity and analytics capability assessments and identify opportunities for improvement.
Validate model performance using appropriate statistical and machine learning techniques and communicate model assumptions, limitations, and results.
Partner with business stakeholders to identify high-value AI and analytics opportunities and assess potential business value and feasibility.
Develop prototypes and proofs of concept to test analytical approaches before broader implementation.
Work closely with Data Engineers, Data Architects, Product Managers, and technology teams to operationalize successful models and analytical solutions.
Define and monitor analytical KPIs and support evaluation of whether delivered solutions achieve intended business outcomes.
Communicate complex analytical findings and recommendations in clear, actionable terms for both technical and executive audiences.
Apply appropriate Responsible AI, privacy, data governance, and model risk considerations throughout the analytics lifecycle.

QUALIFICATIONS & EXPERIENCE

Degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field, or equivalent experience.
Significant experience in data science, advanced analytics, predictive modelling, machine learning, or statistical analysis.
Strong proficiency in Python, SQL, statistical analysis, and machine learning techniques.
Experience developing and validating predictive and machine learning models using real-world enterprise data.
Knowledge of model evaluation, experimentation, feature engineering, data quality, and analytical methodology.
Experience working with modern cloud-based data and analytics environments.
Understanding of Generative AI and emerging AI techniques would be an asset.
Strong business acumen with the ability to connect analytical findings to measurable business outcomes.
Strong communication, problem-solving, and stakeholder-management skills.

REQUIRED

Deep expertise in statistics, probability, predictive modelling and machine learning
Advanced hands-on proficiency in Python, SQL and ML frameworks
Strong hands-on experience with Azure Machine Learning and Microsoft Foundry/Azure AI Foundry
Degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field
Significant experience in data science, advanced analytics, predictive modelling, machine learning, or statistical analysis
Strong proficiency in Python, SQL

PREFERRED

Public Sector Experience
Understanding of Generative AI and emerging AI techniques

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More about this job

Responsibilities

Develop advanced analytics, predictive models, and machine learning solutions, including prototypes and proofs of concept, to address business priorities. Assess data readiness, validate models, identify valuable AI opportunities, operationalize successful solutions with cross-functional teams, and communicate findings and outcomes to stakeholders.

Requirements

Requires a quantitative degree or equivalent experience, significant experience in data science or advanced analytics, and strong expertise in statistics, predictive modeling, Python, SQL, and machine learning. Hands-on experience with Azure Machine Learning and Microsoft Foundry/Azure AI Foundry is required; public sector experience and knowledge of generative AI are preferred.

Skills

Statistics
Probability
Predictive Modeling
Machine Learning
Python
SQL
Azure Machine Learning
Microsoft Foundry
Statistical Analysis
Feature Engineering
Model Validation
Data Quality Assessment
Responsible AI
Data Governance
Stakeholder Management
Business Value Analysis

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
Power BI
VSCode
Git
Jira
Azure
Azure OpenAI
Microsoft Foundry
Azure AI Foundry
Azure Machine Learning
Azure ML Studio
Databricks
Machine Learning
Predictive Modeling
Statistical Inference
Classification
Regression
Clustering
Feature Engineering
Experimentation
Model Selection
Model Validation
Exploratory Data Analysis
Data Quality
Responsible AI
Data Governance
Model Risk
Generative AI
Analytics KPIs

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