Jobs in Canada

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Added 1 day ago
GS
System Architect (BACoE)
GURUS Solutions
Montréal, QC
- Full-time
Integration Strategy: Lead the design of integration patterns (REST, Webhooks, Middleware) to ensure data freshness and synchronization.
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Senior Software Engineer, Cluster Scalability
MongoDB
BC · ON
- Full-time
Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture
Added 1 day ago
SC
Senior Quant Researcher - Fixed Income
Squarepoint Capital
Montréal, QC
- Full-time
Analyze large data sets using advanced statistical methods to identify trading opportunities.
Added 1 day ago
RC
Senior Software Developer - Full Stack
Randstad Canada
Toronto, ON
- Contract
…services using Enterprise Java, MuleSoft, Apache Camel, and modern data transformation technologies…
Added 1 day ago
RC
Senior Full Stack Software Developer
Randstad Canada
Toronto, ON
- Contract
We are seeking a Senior Full Stack Software Developer for a 6-month contract role. In this role, you will lead the design, development, and implementation of large-scale enterprise…
Added 1 day ago
RC
Data Solutions Developer IV
Randstad Canada
Toronto, ON
- $56.38 to $66.33 CAD / hour
- Contract
Our client, is seeking a high-performing Data Solutions Developer IV (Senior Data Engineer) to join their enterprise data platform team.
Added 1 day ago
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Principal Implementation Specialist
FactSet Research Systems Inc.
Toronto, ON
- Full-time
FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use…
Added 1 day ago
RC
Développeur sécurité - GIA
Randstad Canada
Québec, QC
- Contract
As a Security Developer within the identity management team, you will be responsible for implementing and supporting the technological solutions necessary for identity management. You will…
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Data Scientist/Data Engineer
hireVouch
Toronto, ON
Industry Experience: 5–8+ years of professional experience in Data Science, Machine Learning, or Advanced Analytics.
Added 1 day ago
Database Administrator/Engineer
hireVouch
Toronto, ON
You will be responsible for the reliability and performance of the databases and data processes that deliver service to their clients. You will deploy, monitor, optimize and troubleshoot…
Added 1 day ago
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Sr Product Development Chemist
TreowGroup Recruitment
Etobicoke, ON
- $80,000 to $90,000 CAD / year
Maintain accurate, organized and confidential records of batches, chemical and product samples, technical and safety data sheets, and analytical and appraisal methods.
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Software Engineer - Research
hireVouch
Montréal, QC
- Hybrid
Bachelor's or Master's in Computer Science, Data Science, Mathematics, or a related discipline.
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Software Engineer - trading
hireVouch
Montréal, QC
- Hybrid
…powers the collection, transformation, and delivery of market data used by our trading systems. As a member of our team, you will be surrounded by cutting-edge technology and senior…
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Junior Data Engineer
hireVouch
Vaughan, ON
- Hybrid
As a fresh graduate joining our team, you will work closely with senior data engineers and analysts to design, build, and maintain high-volume data pipelines. You will transform raw…
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SW Engineer - AI first coding
hireVouch
Toronto, ON
- Hybrid
 Build and maintain data pipelines that move information between systems reliably and on schedule.
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RC
Senior Scrum Master
Randstad Canada
Toronto, ON
- Contract
Dedicated Onsite Collaboration: Partner directly with technical teams, product owners, and business leads in a focused 5-day per week workspace
Added 1 day ago
Health Science Instructor, Qualified Faculty List
Kwantlen Polytechnic University
Surrey, BC
Kwantlen Polytechnic University’s Faculty of Science is currently seeking applications for Health Science instructors to join the Department of Biological and Health Sciences Qualified…
Added 1 day ago
GM
Legal Counsel – Scientific Research
Groupe Montpetit Ressources Humaines Inc
Montréal, QC
- Full-time
Added 1 day ago
RC
WebMethods Integration Specialist
Randstad Canada
Toronto, ON
- $65.12 to $71.8 CAD / hour
- Contract
Design, develop, test, and deploy robust data integrations connecting enterprise asset management systems, service request tools, and field service management solutions.
Added 1 day ago
SF
MRI Technologist (Part-time and Casual)
Simon Fraser University
Burnaby, BC
- Part-time
Ability to analyze and interpret data, determine implications, and provide recommendations.
Added 1 day ago
RC
Microsoft CoPilot AI Solutions Consultant - Hybrid
Randstad Canada
Burnaby, BC
- $65.7 CAD / hour
- Contract
· Bachelor’s degree in computer science / engineering, Information Systems, Business Administration, or equivalent experience.
Added 1 day ago
CN
Radiobiology Technologist
Canadian Nuclear Laboratories LTD
Chalk River, ON
- Full-time
Conducting biological data acquisition using various techniques, including microscopy, flow cytometry, and quantitative real-time PCR, among others.
Added 1 day ago
CN
Radiochemistry Technologist
Canadian Nuclear Laboratories LTD
Chalk River, ON
- Full-time
Carrying out detailed radiochemical analyses (Radio‑TLC, Radio‑HPLC, ICP‑MS, gamma counting) and preparing clear data analysis reports.
Added 1 day ago
CN
Management System Specialist
Canadian Nuclear Laboratories LTD
Chalk River, ON
- Full-time
Working schedule: Five (5) days per week, seven and a half (7.5) hours per day for a thirty-seven and a half (37.5) hour work week
Added 1 day ago
CN
Environmental Technologist
Canadian Nuclear Laboratories LTD
Chalk River, ON
- Full-time
Working schedule: Five (5) days per week, seven and a half (7.5) hours per day for a thirty-seven and a half (37.5) hour work week

hireVouch

Data Scientist/Data Engineer

Toronto, ON, Canada

Apply on hirevouch.catsone.com About employer

Applications open in a new tab.

Job details

Experience: Industry Experience: 5–8+ years of professional experience in Data Science, Machine Learning, or Advanced Analytics.
Posting language: English
Posted: May 28, 2026

Original job description

Data Scientist (AI & Data Engineering) – External Data & Intelligent Insights

Location

Toronto, ON (Hybrid)

Role Summary

Our client is a global real estate investor, developer, and manager connects people to exceptional places across the office, logistics, residential, and retail sectors, operating an elite international portfolio with a focus on long-term value creation.

We are seeking a high-performing Data Scientist with strong data engineering capabilities to build advanced analytical models and intelligent insights. In this role, you will combine external market data (e.g., CoStar, JLL, CBRE) with internal enterprise datasets within our modern Microsoft Fabric data platform.

You will operate across the full data lifecycle: data ingestion, transformation, predictive modeling, and insight generation. Your primary focus will be integrating multi-source external data, engineering governed and reusable datasets, and developing predictive frameworks that unlock high-value business intelligence across enterprise use cases.

Key Responsibilities

1. Data Integration & Engineering (Hands-on)

Ingest external datasets: Source and integrate vendor data including market, macro, demographic, and rental datasets.
Blend enterprise data: Combine external data with internal systems like Yardi, asset management systems, and investment databases.
Build Fabric pipelines: Develop robust pipelines using Microsoft Fabric, including Dataflows, Notebooks, Lakehouse, and Data Pipelines.
Implement Medallion architecture: Design and maintain structured layers: Bronze (raw), Silver (cleansed/standardized), and Gold (business-ready).
Model reusable datasets: Develop scalable data models that support cross-domain analytics, multi-source comparisons, and machine learning (ML) consumption.

2. Advanced Analytics & Predictive Modeling

Build ML models: Develop machine learning models to identify trends, predict outcomes (e.g., asset performance, leasing risk, market movements), and detect anomalies.
Perform advanced statistical analysis: Execute time-series modeling, multivariate analysis, and scenario modeling.
Translate business questions: Convert ambiguous business problems into structured analytical frameworks and predictive models.

3. Insight Generation & Business Impact

Extract actionable value: Identify performance drivers, market opportunities, and risk signals from combined data sources.
Deliver data products: Create insight-ready Gold-layer datasets optimized for Power BI, downstream apps, and AI consumption.
Communicate complex narratives: Present technical findings to non-technical business stakeholders using clear, contextual storytelling.

4. MLOps & Productionization

Manage ML lifecycle: Handle end-to-end model training, validation, hyperparameter tuning, deployment, and performance monitoring.
Embed production pipelines: Integrate models into Fabric pipelines for automated batch and scheduled inference.
Ensure scalability: Build reliable, reusable, and scalable models that serve multiple enterprise use cases.

5. Data Governance & Quality

Ensure data integrity: Maintain high quality, consistency, and lineage across disparate external and internal data sources.
Prioritize explainability: Build transparent models with clear assumptions, drivers, and traceability.
Align with standards: Strictly adhere to enterprise data governance, privacy, and security policies.

6. Collaboration & Delivery

Partner across teams: Work closely with the Delivery Manager on vendor coordination, Data Engineers on pipeline architecture, and Business Leaders on use-case definitions.
Drive outcomes: Convert complex data discoveries into strategic recommendations that drive measurable business value.
(Optional) Support AI enablement: Contribute to future AI-driven workflows, insight automation, and smart recommendation engines (Note: Primary focus is data and modeling, not AI agent development).

Required Qualifications

Experience

Industry Experience: 5–8+ years of professional experience in Data Science, Machine Learning, or Advanced Analytics.
Proven Track Record: Demonstrated experience working with large, multi-source datasets and deploying production-grade models.

Technical Skills

Core Languages: Expert proficiency in Python (Pandas, PySpark, scikit-learn, etc.) and advanced SQL.
Data Engineering: Strong hands-on experience with data transformation, modeling principles, and ETL/ELT pipelines.
Modern Platforms: Direct experience working with Microsoft Fabric (or equivalent modern cloud data platforms like Databricks or Snowflake).
Architecture: Solid understanding of Medallion architecture and data warehousing concepts.

Analytical & Business Skills

Methodologies: Practical expertise in regression, classification, clustering, and time-series forecasting.
Problem-Solving: Ability to extract clear signals from complex, noisy, and unstructured datasets.
Communication: Strong capability to bridge the gap between technical execution and business strategy.

Nice-to-Have Qualifications

Experience with real estate, investment management, or property tech datasets.
Direct experience handling data feeds from external providers like CoStar, JLL, or CBRE.
Exposure to Azure AI Foundry, LLM-based solutions, RAG architectures, or advanced AI workflows.
Experience building and scaling end-to-end data products from the ground up.

Apply on hirevouch.catsone.com About employer

More about this job

Responsibilities

The Data Scientist will ingest and blend external and internal datasets, build Microsoft Fabric pipelines and Medallion-layer datasets, and develop machine learning models for forecasting, risk and anomaly detection. The role also turns results into business-ready datasets and presents findings to non-technical stakeholders.

Requirements

Candidates need 5 to 8+ years of data science or advanced analytics experience and expert Python and advanced SQL. They also need hands-on Microsoft Fabric or equivalent platform experience, Medallion architecture knowledge and applied regression, classification, clustering and time-series skills.

Skills

Python
PySpark
pandas
scikit-learn
Advanced SQL
Microsoft Fabric
Dataflows
Notebooks
Lakehouse
Data Pipelines
Medallion architecture
ETL/ELT
Data warehousing
Machine learning
Regression
Classification
Clustering
Time-series forecasting
Multivariate analysis
Scenario modeling
Hyperparameter tuning
MLOps
Power BI
Data governance
Stakeholder communication

Keywords

Data Scientist
Data Engineer
Microsoft Fabric
Python
SQL
PySpark
pandas
scikit-learn
Medallion architecture
Lakehouse
Data Pipelines
Dataflows
Notebooks
Power BI
Databricks
Snowflake
Machine learning
Time-series forecasting
MLOps
Real estate analytics

Seniority

Senior

Tools

Microsoft Fabric
Python
SQL
PySpark
scikit-learn
Power BI
Yardi

Languages

English

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Work requirements

Jobs in Canada