Find work in Canada.

330,830 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 3 hours ago
TI
2027 Accelerated Development Program - BrainBox AI
Trane Italia
Montreal, QC
- Full-time
Added 3 hours ago
V
Senior Data Scientist
Visa
Toronto, ON
- Full-time
The Sr. Data Scientist is responsible for designing and deploying AI-powered tools and agent systems that combine LLMs and custom ML models into end-to-end solutions that support business…
Added 4 hours ago
R&
Principal Data Scientist, Agentic AI Technical Lead
Robots & Pencils
Canada
- Full-time
We're looking for a Principal Data Scientist to serve as the technical lead across an entire agentic AI program. This role is ideal for a deeply experienced data science and AI leader who…
Added 4 hours ago
AI
Lead Data Scientist
Alberta iGaming Corporation (AiGC)
AB · Greater Edmonton Metropolitan Area
- Full-time
We're looking for a Lead Data Scientist to lead the application of advanced data science and analytical methodologies to enable safe, fair, and responsible iGaming in Alberta by providing…
Added 4 hours ago
XP
Research Associate 1 or 2, Biology (12 Month Contract)
Xenon Pharmaceuticals
Burnaby, BC
- $58,100 to $81,000 CAD / year
- Full-time
The Research Associate 1 or 2, Biology will report to the Senior Research Scientist, Biology and be based out of Vancouver, BC, Canada. The level of the position will be commensurate with…
Added 8 hours ago
W
Junior Environmental Scientist or Technologist
Worley
AB · Alberta, Canada
- Full-time
As a Junior Environmental Scientist or Technologist, you will play an important role in delivering field-based environmental programs that support remediation, decommissioning, reclamation,…
Added 9 hours ago
M
AI Opportunities | Opportunités en IA
McKesson
Montreal, QC
- Full-time
…size it before it moves. Open roles: Lead Solution Architect, Senior Business Analyst, Data Scientist, Data…
Added 10 hours ago
Senior Data Scientist
Scotiabank
Toronto, ON
Within this department, the Senior Data Scientist is responsible for solving complex business problems, using quantitative approaches with a unique blend of analytical, mathematical and…
Added 12 hours ago
TT
Sr. Data Scientist
Tundra Technical Solutions
Mississauga, ON
- $75 to $85 CAD / hour
- Contract
Senior Data Scientist role within our client's Advanced Analytics team. This posting is for two headcount and both are end-to-end data science roles and are interchangeable by design.
Added 12 hours ago
D
Data Scientist
Dexian
Mississauga, ON
- $75 to $85 CAD / hour
- Contract
Build dashboards/data applications for senior business stakeholders.
Added 15 hours ago
KI
Architect, Machine Learning (Principal Scientist)
Kinaxis Inc.
Canada
- Full-time
…capabilities. As part of the Product R&D organization, you will play a senior technical leadership role in applied AI, helping identify promising techniques, develop differentiated…
Added 22 hours ago
A
Senior Scientist - Sensors
Anasens
Montreal, QC
- Full-time
Anasens is #hiring! We are looking for a Senior Scientist - Biosensor.
Added 1 day ago
M
Scientist / Senior Scientist, Insect Biology and Bioassays
Molagri
Toronto, ON
- $130,000 to $160,000 USD / year
- Full-time
Added 1 day ago
M
Scientist / Senior Scientist, Synthetic Virology for RNA Delivery
Molagri
Toronto, ON
- $130,000 to $160,000 USD / year
- Full-time
Added 1 day ago
T
Data Scientist III - Financial Crimes Network Analytics (ATH 5556)
TD
Toronto, ON · Markham, ON
- Full-time
Data Scientist III ( Financial Crimes Network Analytics )
Added 1 day ago
W
Data Scientist III, Global Supplier Technology
Wayfair
Toronto, ON
- $172,180 to $185,424.5 CAD / year
- Full-time
As a Data Scientist III on this team, you'll turn that map into decisions. You'll define how we measure and rank huddles, figure out why products win or lose within them, and show whether…
Added 1 day ago
M(
Scientist / Senior Scientist, Synthetic Virology for RNA Delivery
Molagri (YC S26)
Toronto, ON
- Full-time
Added 1 day ago
CM
Research Technician III
CancerCare Manitoba
Winnipeg, MB
- Full-time
…commitment to research excellence. Working under the guidance of a scientist and senior technician, you’ll play a vital role in keeping experiments moving and data…
Added 1 day ago
M(
Scientist / Senior Scientist, Insect Biology and Bioassays
Molagri (YC S26)
Toronto, ON
- Full-time
Added 1 day ago
Research Technician III
Winnipeg Regional Health Authority
Winnipeg, MB
…commitment to research excellence. Working under the guidance of a scientist and senior technician, you’ll play a vital role in keeping experiments moving and data…
Added 1 day ago
T
Data Scientist III - Financial Crimes Network Analytics (ATH 5556)
TD
Toronto, ON
- Full-time
Data Scientist III ( Financial Crimes Network Analytics )
Added 1 day ago
FL
Scientist
Frontage Laboratories
Vancouver, BC
- $70,000 to $80,000 USD / year
- Full-time
Job Title: Scientist, BioA (Regular, full-time)
Added 1 day ago
HI
Data Scientist
HISH IT SERVICES
Toronto, ON
- $85 CAD / hour
- Contract
The Senior Analytics & Insights Consultant sits within Adastra's AI practice and serves as an embedded, end-to-end analytics partner to client businesses, translating deep quantitative…
Added 1 day ago
Senior Data Scientist I
Bell
Toronto, ON
Added 1 day ago
AS
Sr. Applied Scientist, Workforce Solutions
Amazon Science
Vancouver, BC
- Full-time
We are looking for a Sr. Applied Scientist to join our ML/AI team to work on Advanced Optimization and LLM solutions. You will partner with Software Engineers, Machine Learning Engineers,…

Tundra Technical Solutions

Sr. Data Scientist

Mississauga, ON, Canada

$75 to $85 CAD / hour · Contract

Apply About employer

Applications open in a new tab.

Job details

Pay: $75 to $85 CAD / hour
Job type: Contract
Apply by: Nov 6, 2026
Posting language: English
Posted: Oct 7, 2026

Original job description

Job Title: Data Scientist

Location: 3 days onsite (airport)

Senior Data Scientist role within our client's Advanced Analytics team. This posting is for two headcount and both are end-to-end data science roles and are interchangeable by design.

Role Summary:

The Advanced Analytics team is building a trusted, machine-learning-driven capacity-planning capability in-house. The Senior Data Scientist designs, builds, and validates predictive and decision-support models for airport operations. Each person takes a problem from raw operational data through validated models to outputs that operational and business stakeholders can trust and act on. Two scientists are being hired to provide the team with depth, resilience, and the capacity to scale across workstreams.

This is a hands-on ownership role. The priority is turning complex, imperfect operational data into accurate, explainable, and supportable analytics. Accuracy and explainability are the standard, not optional extras.

Details:

Scope of Ownership: Senior Data Scientist owns analytical workstreams end to end. The following areas describe the scope of ownership for each role.

Data foundation

Validate and prepare operational data; establish trusted, analytics-ready datasets.

Forecasting & modelling

Build demand forecasts and predictive models using statistical, time-series, and machine learning methods.

Optimization & decision support

Translate predictions into capacity, risk, and recommendation outputs that inform operational decisions.

Validation

Define and run validation that reflects real operational conditions, not only average-case accuracy.

Production readiness

Package models for deployment and monitoring in partnership with ML engineering.

Stakeholder Trust

Communicate methods, assumptions, and limitations clearly to technical and non-technical audiences.

Full-Stack Expectation:

Each role spans the full analytics lifecycle. The successful candidate is comfortable across the following areas:Data discovery and validation - profiling, quality checks, and source reconciliation.
Modelling - statistical, time-series, and machine learning approaches, with strong baselines before advanced methods.
Optimization and decision support - converting model outputs into actionable, constraint-aware recommendations.
Productionization - collaborating with MLOps and ML engineering to deploy, monitor, and maintain models.
Business consumption - partnering with business intelligence and operational stakeholders to make outputs usable and trusted.

Key Responsibilities:

The Senior Data Scientist is expected to perform the following responsibilities:Own analytical workstreams end to end, from data to validated, decision-ready outputs.
Validate operational data and define clear, defensible data foundations before modelling.
Build transparent baselines before advanced models and justify any added complexity.
Apply statistical, time-series, machine learning, and optimization methods as appropriate.
Validate models against real operational conditions and communicate performance honestly.
Translate model outputs into recommendations stakeholders can act on with confidence.
Partner with Data Engineering, Business Intelligence, Operations, and MLOps / ML engineering.
Produce production-readiness artifacts and support clean handoff to deployment and monitoring.
Communicate uncertainty and limitations clearly, and identify when an output is not ready for operational use.

Required Experience:

Candidates are required to demonstrate the following experience:

Five or more years in data science, forecasting, operations analytics, or applied machine learning.
Strong Python and SQL.
Time-series, regression, gradient boosting, or statistical modelling experience.
Demonstrated ability to work from messy operational data to trusted, validated outputs.
Ability to explain model performance and limitations to technical and business stakeholders.
Evidence of owning work through to handoff or production, not only exploratory analysis.

Preferred Experience:

The following experience is considered an asset:Airport, airline, transit, logistics, or other complex operations experience.
Forecasting, queueing, simulation, or optimization methods.
Microsoft Fabric, Power BI, Azure Machine Learning (Azure ML), MLflow, and Git.
Model governance: versioning, validation, monitoring, and retraining practices.
Experience designing decision-support or recommendation outputs.

Success Measures:

Performance in the role is measured against the following outcomes:

Models are accurate, explainable, and trusted by operational and business stakeholders.
Performance is validated against real operational conditions, not only average accuracy.
Outputs are reconciled, supportable, and ready for production handoff.
Work is handed to ML engineering with complete artifacts and minimal rework.
The two scientists provide mutual coverage and a consistent quality bar across workstreams.

Why Join Us?

You'll have the opportunity to shape products that bring analytics and AI directly into decision-making workflows, helping users solve complex operational challenges through intuitive, scalable technology. If you're passionate about creating exceptional digital experiences and building products that deliver measurable business impact, we'd love to hear from you.

This posting is for an existing vacancy.

Tundra Technical Solutions is a global workforce and technology delivery firm, ranked by Staffing Industry Analysts as one of the largest in North America. At Tundra, we aren't just hiring top talent at the world's most recognizable brands; we are pioneers of social recruitment. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other legally protected characteristics. We welcome and encourage diversity in the workplace.

We use artificial intelligence tools to help our recruiters screen and assess talent. These tools do not replace human decision making in the process.

Not interested in this position, but know somebody who might be? Check out our Referral Reward Program, referrals are a big secret behind our success. As always, we’re on the lookout for great people. And we know that you know great people!

Apply About employer

More about this job

Responsibilities

Own end-to-end analytics workstreams, from validating operational data and building predictive models to producing decision-ready recommendations. Validate models under real operational conditions, communicate their limitations, and partner with engineering, operations, BI, and MLOps teams to prepare models for deployment and monitoring.

Requirements

Requires at least five years of experience in data science, forecasting, operations analytics, or applied machine learning, along with strong Python and SQL skills and experience with statistical, time-series, or machine-learning models. Candidates must be able to turn messy operational data into validated outputs, explain model performance and limitations, and own work through production handoff.

Skills

Python
SQL
Data Science
Forecasting
Time-Series Modeling
Statistical Modeling
Regression
Gradient Boosting
Machine Learning
Data Validation
Data Quality
Optimization
Decision Support
Model Validation
Productionization
Stakeholder Communication

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
Advanced Analytics
Airport Operations
Operational Data
Data Discovery
Data Profiling
Data Quality
Data Reconciliation
Demand Forecasting
Time-Series Analysis
Regression
Gradient Boosting
Statistical Modeling
Machine Learning
Optimization
Queueing
Simulation
Decision Support
Model Validation
Model Governance
Model Monitoring
Model Retraining
Production Readiness
MLOps
Microsoft Fabric
Power BI
Azure Machine Learning
MLflow
Git

Report this job