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Added 8 days ago
FI
Senior Data Science Developer
Flexstaf I.T. Inc.
Toronto, ON · Greater Toronto Area, Canada
- Contract
Experience working with modern cloud-based data and analytics environments.
Added 8 days ago
E
Quality Assurance Specialist
Entrust
Ottawa, ON · Greater Ottawa Metropolitan Area
- Full-time
Must have unrestricted work authorization in Canada
Added 8 days ago
QA
Data Engineer II - QuantumBlack, AI by McKinsey
QuantumBlack, AI by McKinsey
Toronto, ON
- Full-time
You will build the foundational data infrastructure that powers cutting-edge AI applications leveraging LLMs, retrieval systems, workflows, and emerging agentic architectures.
Added 8 days ago
EN
Program Manager
Extreme Networks
Toronto, ON
- Full-time
Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts…
Added 8 days ago
AW
Senior Developer - R&D Tools & Systems
Arctic Wolf
Waterloo, ON · Office - CAN - Ontario, Waterloo
- $75,000 to $246,000 CAD / year
- Full-time
We are looking for a highly skilled Senior Developer to plan, organize, and manage the design, build, and maintenance of reproducible lab environments to support integration with…
Added 8 days ago
VP
System Integration Project Manager
Vista Projects Limited
Calgary, AB
- Full-time
The System Integration Project Manager leads the delivery of SI projects at the intersection of engineering data, application development and emerging AI tooling. This role coordinates the…
Added 8 days ago
LM
DIRECTOR OF INFORMATION TECHNOLOGY
Lacroix Médecine Privée
Quebec, QC
- Full-time
They provide leadership for technology strategy, infrastructure, business systems, cybersecurity, data governance, digital transformation, and artificial intelligence.
Added 8 days ago
C
Courseware Developer-EN
CAE
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
The Courseware Developer develops and assembles learning assets based on approved storyboards, blueprints, and training designs. The role works closely with Instructional Designers (ISDs),…
Added 8 days ago
AW
Senior Developer - R&D Tools & Systems
Arctic Wolf
Waterloo, ON
- $75,000 to $246,000 CAD / year
- Full-time
We are looking for a highly skilled Senior Developer to plan, organize, and manage the design, build, and maintenance of reproducible lab environments to support integration with…
Added 8 days ago
C
IT System Architecture Specialist-EN
CAE
Montreal, QC
- Full-time
Design architectures in a hybrid environment, but with a "cloud first" vision.
Added 8 days ago
AS
Fixed Income Risk System Developer
Axelon Services Corporation
Montreal, QC
- $65.52 CAD / hour
- Other
Revamp the market data and marking system in a strategic cross-asset platform.
Added 8 days ago
L
Principal AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
The Enterprise Data & AI organization is a strategic and operational driver of growth for lululemon, owning and building the data and AI platforms and services that enable the enterprise to…
Added 8 days ago
MP
Senior Security Analyst
Municipal Property Assessment Corporation
Pickering, ON
- Full-time
…importance of your work firsthand? Do you have a passion for big data and cloud computing – and know the benefit of using data to improve business…
Added 8 days ago
Manufacturing & Process Engineer - Senior PMO / Change & Transformation Lead
Capgemini
Montreal, QC
Added 8 days ago
M
Copy of Senior Genesys Cloud PS Consultant (Genesys AI experience)
Miratech
Mississauga, ON · Toronto
- Full-time
Hands-on experience with Genesys Cloud CX, including platform configuration and solution implementation, such as knowledge bases, Architect, bot flows, or Data Actions.
Added 8 days ago
M
Copy of Copy of Senior Genesys Cloud PS Consultant (Genesys AI experience)
Miratech
Vaughan, ON · Toronto
- Full-time
Hands-on experience with Genesys Cloud CX, including platform configuration and solution implementation, such as knowledge bases, Architect, bot flows, or Data Actions.
Added 8 days ago
M
Copy of Copy of Copy of Senior Genesys Cloud PS Consultant (Genesys AI experience)
Miratech
Brampton, ON · Toronto
- Full-time
Hands-on experience with Genesys Cloud CX, including platform configuration and solution implementation, such as knowledge bases, Architect, bot flows, or Data Actions.
Added 8 days ago
A
Deal Desk Coordinator
Assent
Ottawa, ON
- $50,000 to $55,000 CAD / year
- Full-time
…for responsible AI use and for handling customer and pricing…
Added 8 days ago
MI
Guidewire Functional Analyst (Bilingual)
Maarut Inc
Montreal, QC
- Contract
Guidewire Cloud or cloud migration experience.
Added 8 days ago
M
Senior Data Architect
Miratech
Mississauga, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 8 days ago
DL
Salesforce Data Cloud Developer
Diverse Lynx
Toronto, ON
- Contract
We are seeking an experienced Salesforce Data Cloud Developer to design, implement, and optimize enterprise-scale customer data solutions using Salesforce Data Cloud. The ideal candidate…
Added 8 days ago
LV
EMAIL MARKETING SPECIALIST-EN
La Vie En Rose
Montreal, QC
- Full-time
Partner with CRM and data teams to develop and optimize customer segments, personalization strategies, and audience targeting to improve campaign performance.
Added 8 days ago
C
ETL Data Lead (Hybrid)
Cognizant
Halifax, NS
- Full-time
We are seeking an experienced ETL/ELT Engineer to design, develop, and maintain robust data pipelines using Informatica IICS and Snowflake. The ideal candidate will have strong SQL skills,…
Added 8 days ago
Senior Business Development Representative
D2L
Kitchener, ON
Please note - this is a hybrid role - working out of our Kitchener office 3 days per week
Added 8 days ago
Business Development Representative
D2L
Kitchener, ON
Please note - this is a hybrid role - working out of our Kitchener office 3 days per week

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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Jobs in Canada