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.

86,207 listings · 10,160 employers Counted Nov 5, 2026. How we count

About these jobs

Employers hiring include Husky Technologies (1,936 listings), Loblaw Companies Limited (1,468 listings), Shoppers Drug Mart (1,325 listings).

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

13,451 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	7,434
CAD / hour	26.00	5,544
USD / year	158,000.00	70
CAD / month	6,000.00	34
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 12 hours ago
Patient & Family Experience Coordinator - Patient & Family Experience
CAMH
Toronto, ON
Added 12 hours ago
I
Product Development Engineer - 6-Month Contract
Inertia
Toronto, ON
- Full-time
Added 12 hours ago
I
Product Development Team Lead
Inertia
Toronto, ON
- Full-time
Added 12 hours ago
Solution Architect - HPE
Converge Technology Solutions
Toronto, ON
Added 12 hours ago
HOUSEKEEPING AIDE
Southbridge Healthcare LP
Toronto, ON
Added 12 hours ago
LAUNDRY AIDE
Southbridge Healthcare LP
Toronto, ON
Added 12 hours ago
Delivery Driver
Sherwin-Williams
Richmond Hill, ON
Added 12 hours ago
B
Blue Rewards- Marketing Specialist, Rewards (14 month contract)
BMO
Toronto, ON
- Full-time
Added 12 hours ago
P
Diesel Truck Technician/Mechanic III (Helper/Apprentice)
Penske
Toronto, ON
- Full-time
Added 12 hours ago
C
Cook Part Time
Chartwell
Richmond Hill, ON
- Part-time
Added 12 hours ago
A
Registered Practical Nurse Temp Part Time AgeCare Westbruy
AgeCare
Toronto, ON
- Part-time
Added 12 hours ago
TH
Loss Prevention Specialist Full Time (RICHMOND HILL)
The Home Depot
Richmond Hill, ON
- Full-time
Added 12 hours ago
A
Costco Roadshow Brand Ambassador
Acosta
Toronto, ON
- Full-time
Added 12 hours ago
R
Growth Marketing Manager
Roadpost
Toronto, ON
- Full-time
Added 12 hours ago
R
Digital Marketing Manager
Roadpost
Toronto, ON
- Full-time
Added 12 hours ago
MR
Cleaner
MoveSmart Rentals
Toronto, ON
- Internship
Added 12 hours ago
S
Respiratory Therapist - Neonatal Intensive Care Unit - Regular Part-Time 2026-18019 (2026-18019)
Sunnybrook
Toronto, ON
- Part-time
Added 12 hours ago
D
Brand Ambassador (Full time, Yorkdale)
Diptyque
Toronto, ON
- Full-time
Added 12 hours ago
SH
Registered Nurse - Clinical Resource Team
Southlake Health Community
Newmarket, ON
- Part-time
Added 12 hours ago
EP
Shipping & Receiving Coordinator
Export Packers
Brampton, ON
- Full-time
Added 12 hours ago
GV
Lead Manufacturing Specialist 2 - Prod Process and Equip
GE Vernova
Markham, ON
- Full-time
Added 12 hours ago
HR
Style Advisor
Harry Rosen
Toronto, ON
- Full-time
Added 12 hours ago
TP
Security Analyst
Toronto Parking Authority
Toronto, ON
- Full-time
Added 12 hours ago
Project Manager, Customer Success & Account Management
GoBolt
Toronto, ON
Added 12 hours ago
F
Business Development Representative
Fortive
Toronto, ON
- Full-time

TekStaff IT Solutions

Data Science Specialist

Toronto, ON, Canada

Contract

Apply About employer

Applications open in a new tab.

Job details

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

Original job 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.

Must Haves:

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

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.

Apply About employer

More about this job

Responsibilities

Develop and validate predictive models, advanced analytics, and machine learning solutions, while assessing data readiness and identifying valuable AI opportunities. Collaborate with business and technical teams to operationalize solutions, monitor outcomes, and communicate findings while addressing responsible AI, privacy, and governance considerations.

Requirements

Requires significant experience in data science, advanced analytics, predictive modeling, or machine learning, with strong proficiency in Python, SQL, statistical analysis, and model evaluation. A degree in a quantitative field or equivalent experience is required, along with experience using enterprise data and cloud analytics environments; public sector experience is preferred.

Skills

Statistics
Probability
Predictive Modeling
Machine Learning
Python
SQL
Feature Engineering
Model Validation
Azure Machine Learning
Microsoft Foundry
Databricks
Power BI
Exploratory Data Analysis
Responsible AI
Data Governance
Stakeholder Communication

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Advanced Analytics
Predictive Modeling
Machine Learning
Statistics
Probability
Python
SQL
Power BI
Visual Studio Code
Git
Jira
Azure
Azure OpenAI
Microsoft Foundry
Azure Machine Learning
Databricks
Exploratory Data Analysis
Feature Engineering
Model Validation
Model Evaluation
Experimentation
Statistical Inference
Data Quality
Data Maturity Assessment
Responsible AI
Data Governance
Generative AI
Business Value Analysis
Public Sector

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