Full-time jobs in Canada

Explore full-time jobs across Canada. Choose a location and read the full job details.

197,398 listings · 21,374 employers Counted Oct 8, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (5,032 listings), Loblaw Companies Limited (1,888 listings), Starbucks Coffee Company (1,804 listings).

Common roles: Project manager, Sales representative, Store manager.

22,846 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	81,192.00	12,590
CAD / hour	24.00	7,565
USD / year	99,272.50	1,062
USD / hour	20.00	417
CAD / month	4,881.00	244
CAD / week	1,422.50	32
CAD / day	380.00	17
GBP / hour	35.00	15
USD / month	5,000.00	15
GBP / year	40,000.00	14

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: 2% remote, 18% hybrid, 80% 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

Full-time jobs in Canada

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Added 1 hour ago
Admitting Clerk
Health Sciences North
Sudbury, ON
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Manager, Corporate Reporting
Health Sciences North
ON · Sudbury, ON
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AG
Manager, Earned Media
Adelphi Group
Montreal, QC
- Full-time
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Risk Associate
Health Sciences North
Sudbury, ON
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CQI Manager, Mental Health & Addictions
Health Sciences North
ON · Sudbury, ON
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Finance Clerk
Health Sciences North
ON · Sudbury, ON
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Manager, Laboratory (Clinical Pathology)
Health Sciences North
Sudbury, ON
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Paramedic Practice Coordinator
Health Sciences North
ON · Sudbury, ON
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Risk Associate
Health Sciences North
Sudbury, ON
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Coordinator
Health Sciences North
Sudbury, ON
Added 1 hour ago
Manager, Corporate Reporting
Health Sciences North
ON · Sudbury, ON
Added 1 hour ago
Coordinator, Regional Outpatient Geriatric Medicine Service
Health Sciences North
Sudbury, ON
Added 1 hour ago
Paramedic Practice Coordinator
Health Sciences North
ON · Sudbury, ON
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Communications Clerk
Health Sciences North
Sudbury, ON
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Director, Social & Influencer
Adelphi Group
Toronto, ON
- Full-time
Added 1 hour ago
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Buyer
Adelphi Group
Toronto, ON
- Full-time
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Senior Director, Communications
Adelphi Group
Toronto, ON
- Full-time
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Process Operator/Process Operator-in-Training 42hrs
CityofOttawa
Ottawa, ON
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Senior Financial Advisor - Oromocto, NB
Scotiabank
Oromocto, NB
Added 1 hour ago
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Director, Experiential Production
Adelphi Group
Toronto, ON
- Full-time
Added 1 hour ago
AG
Social Strategist
Adelphi Group
Toronto, ON · Montreal, QC
- Full-time
Added 1 hour ago
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Data Analytics Lead
Adelphi Group
Calgary, AB
- Full-time
Added 1 hour ago
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Sr. Associate, Digital Activation
Adelphi Group
Toronto, ON
- Full-time
Added 1 hour ago
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Performance Media Associate, Planning
Adelphi Group
Toronto, ON
- Full-time
Added 1 hour ago
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Performance Media Associate, Planning
Adelphi Group
Toronto, ON
- Full-time

SMARTFOX

Data Scientist

Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 0 to 5 years' experience in data science, analytics, machine learning, research or a related role (strong projects, internships, research and career changers are welcome)
Posting language: English
Posted: Oct 5, 2026

Original job description

The Role

You'll work on problems such as [forecasting, personalisation, churn prediction, pricing, fraud detection, experimentation], partnering with product, engineering, analytics and business teams. You'll get strong mentoring and increasing ownership, whether you're early in your data science career or already have a few years of experience delivering impact.

What You'll Do

Frame business problems as analytical or machine learning questions, and define success metrics
Explore, clean and analyse large datasets to uncover patterns and opportunities
Build, validate and tune predictive models (classification, regression, clustering, time series, NLP)
Design and analyse experiments, including A/B tests and causal inference studies
Work with data and ML engineers to deploy models and monitor performance in production
Develop dashboards and visualisations that make results easy to understand
Communicate findings and recommendations to technical and non-technical stakeholders
Document methodologies, assumptions and results so work is reproducible
Follow responsible data practices, including privacy, fairness and model explainability
Keep up with new techniques and tools, and share learnings with the team

What We're Looking For

Essential

0 to 5 years' experience in data science, analytics, machine learning, research or a related role (strong projects, internships, research and career changers are welcome)
Strong Python (or R) skills, including pandas, NumPy and scikit-learn
Solid SQL skills
Strong grounding in statistics and probability (hypothesis testing, regression, experimental design)
Understanding of core ML concepts: model selection, feature engineering, evaluation metrics, overfitting
Experience with data visualisation (matplotlib, seaborn, Plotly, Tableau or Power BI)
Ability to explain technical results clearly to non-technical audiences
Curiosity, critical thinking and attention to detail

Desirable

Experience with deep learning frameworks (PyTorch, TensorFlow) or NLP and LLM tools
Familiarity with cloud platforms (AWS, Azure, GCP) and data warehouses (Snowflake, BigQuery, Databricks)
Experience with Git, Docker, MLflow or other MLOps tools
Experience with Spark or large-scale data processing
Knowledge of causal inference, Bayesian methods or optimisation
Domain experience in [industry, e.g. finance, healthcare, retail, marketing]
Master's or PhD in Statistics, Maths, Computer Science, Data Science, Physics, Economics or a related field, or equivalent practical experience

Apply About employer

More about this job

Responsibilities

Frame business problems as analytical or machine learning questions, analyze large datasets, build and evaluate predictive models, and design experiments. Collaborate on model deployment and monitoring, create clear visualizations, communicate findings, document work, and follow responsible data practices.

Requirements

The role seeks candidates with 0–5 years of relevant experience, strong Python or R and SQL skills, and a solid foundation in statistics, probability, and core machine learning concepts. Candidates should be able to visualize data and explain results clearly; experience with deep learning, cloud platforms, MLOps, Spark, causal inference, or a relevant advanced degree is desirable.

Skills

Python
R
SQL
Statistics
Probability
Machine Learning
Predictive Modeling
Experimental Design
Causal Inference
Data Visualization
Data Analysis
A/B Testing
Communication
Model Evaluation
Feature Engineering
Responsible Data Practices

Visa sponsorship

Not detected in the job text

Keywords

Python
R
Pandas
NumPy
Scikit-Learn
SQL
Statistics
Probability
Hypothesis Testing
Regression
Experimental Design
Machine Learning
Classification
Clustering
Time Series
Natural Language Processing
A/B Testing
Causal Inference
Matplotlib
Seaborn
Plotly
Tableau
Power BI
PyTorch
TensorFlow
AWS
Azure
Google Cloud Platform
Snowflake
BigQuery

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