Jobs in Vaughan, ON and nearby

Jobs within 25 km of Vaughan, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

85,688 listings · 10,143 employers Counted Nov 4, 2026. How we count

About these jobs

Employers hiring include Husky Technologies (1,906 listings), Loblaw Companies Limited (1,454 listings), Shoppers Drug Mart (1,315 listings).

Common roles: Software engineer, Project manager, Retail sales associate.

13,402 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / year	85,000.00	6,975
CAD / hour	26.00	5,257
USD / year	120,000.00	504
USD / hour	27.50	270
CAD / month	6,000.00	32
CAD / week	2,914.00	26
CAD / day	101.00	16

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 0% remote, 27% hybrid, 72% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Vaughan, ON and nearby

Within 25 km

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Added 57 mins ago
ZS
Azure Databricks Platform engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Added 57 mins ago
KT
Data Architect
Kaizen Technologies
Toronto, ON
- Contract
Added 57 mins ago
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Senior Full Stack .NET Developer – React | Toronto, ON (Hybrid)
TestingXperts
Toronto, ON
- Contract
Added 1 hour ago
Intern - Integrated Employment Services (Scarborough)
ACCES Employment
Toronto, ON
Added 1 hour ago
Intern - Integrated Employment Services (North York)
ACCES Employment
Toronto, ON
Added 1 hour ago
Intern - Integrated Employment Services (Toronto)
ACCES Employment
Toronto, ON
Added 1 hour ago
A
Underwriting Manager, Middle Market Package
AXA
Toronto, ON
- Full-time
Added 1 hour ago
G Licence Truck Driver Night Shift
Diabetes Canada / National Diabetes Trust
Newmarket, ON
Added 1 hour ago
Truck Driver Career Fair
Diabetes Canada / National Diabetes Trust
Newmarket, ON
Added 1 hour ago
Donation Pick Up Truck Driver
Diabetes Canada / National Diabetes Trust
Toronto, ON
Added 1 hour ago
Junior Biologist
Toronto and Region Conservation Authority (TRCA)
Woodbridge, ON
Added 1 hour ago
Senior Accountant
Corus Entertainment
Toronto, ON
Added 1 hour ago
Sales Associate-Retail
Roots
Vaughan, ON
Added 1 hour ago
Retail - Sales Representative
Wirelessdna
Toronto, ON
Added 1 hour ago
H
Guest Service Agent- Part Time
Hilton
Toronto, ON
- Part-time
Added 1 hour ago
T
Senior Applied Machine Learning Scientist
TD
Toronto, ON
- Full-time
Added 1 hour ago
T
Personal Banker Trainee - Tamil Language Needed
TD
Toronto, ON
- Full-time
Added 1 hour ago
T
HR Specialist - TA Products
TD
Toronto, ON
- Full-time
Added 1 hour ago
SD
Pharmacist, Hourly Part Time Day Greenlight Requisition
Shoppers Drug Mart
Toronto, ON
- Part-time
Added 1 hour ago
SD
Merchandiser, Hourly Part Time Day
Shoppers Drug Mart
Toronto, ON
- Part-time
Added 1 hour ago
SD
Pharmacist, Hourly Part Time Day Greenlight Requisition
Shoppers Drug Mart
Toronto, ON
- Part-time
Added 1 hour ago
SD
Post Office Clerk, Hourly Part Time Evening Greenlight Requisition
Shoppers Drug Mart
Toronto, ON
- Part-time
Added 1 hour ago
SD
Post Office Clerk, Hourly Part Time Flexible Shifts Greenlight Requisition
Shoppers Drug Mart
Brampton, ON
- Part-time
Added 1 hour ago
SD
Beauty Specialist, Hourly Part Time Flexible Shifts Greenlight Requisition
Shoppers Drug Mart
Toronto, ON
- Part-time
Added 1 hour ago
PA
Automotive Master Service Technician - Hyundai
Pfaff Automotive Partners Inc.
Woodbridge, ON
- 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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