Full-time jobs in Canada

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

346,971 listings · 45,526 employers Counted Nov 3, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (8,239 listings), Health Match BC (3,141 listings), Walmart (2,654 listings).

Common roles: Cook, Project manager, Sales representative.

62,459 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 / hour	24.00	36,625
CAD / year	80,000.00	21,716
USD / year	98,500.00	1,514
CAD / month	5,027.00	624
USD / hour	20.05	624
CAD / week	1,450.00	55
CAD / day	377.50	38
USD / week	1,735.65	20
GBP / year	40,000.00	14
USD / month	4,000.00	13
EUR / year	65,000.00	11

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, 16% hybrid, 82% 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

Email me new jobs Save this search

Added 2 hours ago
DC
Team Leader, Construction Services
Defence Construction Canada
Ottawa, ON
- Full-time
Added 2 hours ago
G
Inside Sales Representative-EN
Guillevin
Cobourg, ON
- Full-time
Added 2 hours ago
R
Department Manager
RONA
Vaudreuil-Dorion, QC
- Full-time
Added 2 hours ago
BP
Provincial Health Response Lead
BC Public Service
Victoria, BC
- Full-time
Added 2 hours ago
JG
Salesforce Data Cloud Developer
J&M Group
Toronto, ON
- Full-time
Added 2 hours ago
A
Project Engineer
Artika
Montreal, QC
- Full-time
Added 2 hours ago
A
Product Marketing Manager - Industrial
ABB
Milton, ON
- Full-time
Added 2 hours ago
CG
Chef Manager
Compass Group Canada
North Vancouver, BC
- Full-time
Added 2 hours ago
O
Export Specialist
Olymel
Boucherville, QC
- Full-time
Added 2 hours ago
N
Investment Director
Nesbridge
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Added 2 hours ago
R
Gérant de département vente commercial
RONA
Repentigny, QC
- Full-time
Added 2 hours ago
ES
Bag Runner - YLW
Equans Services Canada & US
Kelowna, BC
- Full-time
Added 2 hours ago
TS
Shipper
TRG Staffing Solutions
Mississauga, ON
- Full-time
Added 2 hours ago
S
Assistant Store Manager - Spencer's
Spencer's
Thunder Bay, ON
- Full-time
Added 2 hours ago
TT
Manufacturing Engineer
Top Tier Talent Group
Belleville, ON
- Full-time
Added 2 hours ago
PÀ
Préposé/préposée à l'entretien des bâtiments
Place à l'emploi – Longueuil Rive-Sud
Brossard, QC
- Full-time
Added 2 hours ago
IP
Soudeur / Welder
Integrated Power Services
Sherbrooke, QC
- Full-time
Added 2 hours ago
H
Technical Sales & Market Development Manager – Canada
Humanify
Montreal, QC
- Full-time
Added 2 hours ago
HM
Director of sales
Hôtel Mont Gabriel, une propriété Tribute Portfolio
Sainte-Adèle, QC
- Full-time
Added 2 hours ago
JH
Gérant(e) de magasin, gelateria spécialisée - Store Manager - Gelateria
JRoss Hospitality Recruiters
Sherbrooke, QC
- $45,000 to $55,000 CAD / year
- Full-time
Added 2 hours ago
IP
Soudeur / Welder
Integrated Power Services
Sherbrooke, QC
- Full-time
Added 2 hours ago
IP
Operational Excellence Co-op Student
InterPro Pipe + Steel
Red Deer, AB
- Full-time
Added 2 hours ago
CG
Environmental Services Manager , Senior Living (Contract)
Compass Group Canada
Windsor, ON
- Full-time
Added 2 hours ago
SB
Information Technology Support Technician
Sharp Brains
Windsor, ON
- $3,500 to $4,400 CAD / month
- Full-time
Added 2 hours ago
WI
Student, Conveyance and Infrastructure Planning
WSP in Canada
Vancouver, BC
- Full-time

Conviva

Senior Data Scientist

Toronto, ON, Canada

Apply About employer

Applications open in a new tab.

Job details

Experience: PhD in Computer Science, Statistics, or related field; or MS with 5+ years of applied ML/data science experience.
Posting language: English
Posted: Nov 2, 2026

Original job description

Conviva is the experience analytics platform for AI agents, apps, and streaming. Conviva pioneered quality of experience measurement for streaming video and has supported live digital experiences across 20 Super Bowls, 10 Olympic Games, and five FIFA World Cup tournaments. With full-census, real-time, stateful analytics, Conviva shows what consumers actually experience, not just whether systems are running, and connects that experience to revenue, retention, and risk.

We are looking for a Senior Data Scientist with a strong foundation in Machine Learning, Algorithms, and experienced with AI-native development to help drive our AI Initiatives and contribute to the development of our Real-Time Analytics Platform. This is a hands-on, technically deep role ideal for individuals with a background in Computer Science or Statistics who are passionate about building scalable, intelligent systems - and who actively leverage AI tools to accelerate their work.

What Success Will Look Like:

Design, build, and optimize ML models and solutions - spanning traditional statistical ML, neural networks, and deep learning - to solve real-world problems in large-scale, real-time digital performance analytics.
Develop innovative approaches for predictive modeling, anomaly detection, and automated alerting using time series and other complex datasets.
Apply the full algorithm spectrum: from classical methods (regression, tree-based ensembles, clustering) to advanced deep learning architectures (transformers, LSTMs, CNNs) as the problem demands.
Support AI initiatives including designing AI-driven alerts and contributing to AI roadmaps.
Develop POC code and implement ML solutions that improve product capabilities - using AI coding tools (e.g., Claude, Cursor) natively to accelerate prototyping, code review, and iteration cycles.
Process and analyze large-scale data using Ray and Spark.
Collaborate with cross-functional engineering and product teams to integrate models into production systems.
Stay current with industry trends in AI/ML and bring innovative approaches to the team.

Who You Are and What You've Done:

PhD in Computer Science, Statistics, or related field; or MS with 5+ years of applied ML/data science experience.

Strong foundation in:

Traditional ML: regression, classification, ensemble methods, clustering, dimensionality reduction
Deep Learning & Neural Networks: CNNs, RNNs/LSTMs, Transformers, attention mechanisms
Statistical modeling & algorithms: optimization, Bayesian inference, probabilistic modeling
Proficiency in Python (primary), Scala, or similar languages for production-grade data science.
Demonstrated ability to ship - from POC to scalable, integrated ML solution.
AI-native developer: actively uses AI tools (Claude, Cursor, GitHub Copilot, or equivalent) in daily workflow for coding, debugging, and solution design - not just awareness, but habitual, productive use.
Thrives in fast-paced, ambiguous environments and collaborates effectively across teams.

What Would Make You Stand Out (Bonus Points):

Experience with real-time data processing and streaming analytics.
Deep familiarity with time series analysis - forecasting, change-point detection, seasonality decomposition.
Background in building AI-powered alerting, anomaly detection, or intelligent monitoring systems.
Familiarity with cloud-based ML deployment and MLOps practices (model versioning, monitoring, retraining pipelines).
Experience fine-tuning or integrating LLMs/foundation models into analytical or product workflows.

The expected salary range for this full-time position is $180,000 - $230,000 + equity + benefits. Compensation is determined by numerous factors such as your qualifications, experience, relevant education or training, and work location.

Learn more at conviva.ai and follow the company on LinkedIn and YouTube.

Apply About employer

More about this job

Responsibilities

Design, build, and optimize machine learning models and solutions for real-time digital performance analytics. Collaborate with cross-functional teams to integrate these models into production systems and contribute to AI-driven product roadmaps.

Requirements

Requires a PhD in Computer Science or Statistics, or an MS with at least 5 years of applied machine learning experience. Candidates must be proficient in Python or Scala and demonstrate habitual use of AI coding tools in their daily workflow.

Skills

Machine Learning
Deep Learning
Python
Scala
Time Series Analysis
Anomaly Detection
Neural Networks
Statistical Modeling
Ray
Spark
Predictive Modeling
Transformers
Bayesian Inference
Data Science
Algorithms
MLOps

Benefits

Equity

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Deep Learning
Python
Scala
Ray
Spark
Time Series Analysis
Anomaly Detection
Neural Networks
Transformers
Bayesian Inference
Predictive Modeling
MLOps
Data Science
Algorithms
Artificial Intelligence
Real-time Analytics
Claude
Cursor
GitHub Copilot
Statistical Modeling
Optimization
Classification
Regression
Clustering
Ensemble Methods
Dimensionality Reduction
CNNs
LSTMs
Foundation Models

Report this job