Data scientist jobs in Canada

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Added 18 days ago
II
Lead Data Scientist
iVedha Inc.
Oakville, ON
- Full-time
Vedha is looking for a data scientist that will help us discover the information hidden in vast amounts oiVedha is looking for a data scientist that will help us discover the information…
Added 18 days ago
NI
Data Scientist
Nityo Infotech
Toronto, ON
- Full-time
Requires 10+ years in analytics or data science; prior formal AI experience is not mandatory, but strong Python, SQL, statistics, experiment and cohort design, data quality, Git/GitHub and…
Added 18 days ago
S
Senior Data Scientist
Seequent
Calgary, AB · Canada Calgary AB Office
- Full-time
Reporting to the Vice President, Seequent Labs, this role contributes generative AI, agentic AI, machine learning, and data science expertise to a multidisciplinary research and prototyping…
Added 18 days ago
SI
Senior Data Architect
Siri InfoSolutions, Inc.
Toronto, ON
- $90 to $100 CAD / hour
- Contract
We are looking for an experienced Data Architect/Modeller with strong hands-on expertise in conceptual, logical, physical, and semantic data modelling.
Added 18 days ago
Staff Machine Learning Engineer
Twilio
ON
You will drive improvements to managing LLM workloads across the company, while ensuring easy and compliant access to data for AI/ML exploration and product development. This role requires…
Added 18 days ago
M
RQ11485 - Data Architect/Modeller - Senior
Maarut
Toronto, ON
- Contract
Develops and implements the data architecture for
Added 18 days ago
RT
Machine Learning Specialist
Redlen Technologies Inc.
Victoria, BC
- $100,000 to $125,000 CAD / year
- Full-time
…quality optimization, verification, validation & test (VV&T), and data-driven performance analysis. Leveraging advanced data science techniques, robust testing protocols, and…
Added 18 days ago
M
RQ11575 - Data Architect/Modeller - Senior
Maarut
Toronto, ON
- Contract
Develops and implements the data architecture for
Added 18 days ago
CS
Data Architect
CQ Search Group Ltd.
Toronto, ON
- Contract
Our client, the Ontario Ministry of Land & Resources has a 12 month renewable hybrid remote contract for a Data Architect.
Added 18 days ago
S
Data Scientist
Syntrace
Toronto, ON
- Full-time
We are now hiring a Data Scientist, based in Toronto.
Added 18 days ago
B
Data Architect
Bevertec
Toronto, ON
- $100 to $105 CAD / hour
- Contract
Develops and implements the data architecture for application development in a complex and distributed environment, including the determination of the flow and distribution of data, the…
Added 18 days ago
T
Research Machine Learning Scientist II (B3617)
TD
Toronto, ON
- Full-time
Day-to-day as a Research Machine Learning Scientist:
Added 18 days ago
NI
Data Modeler
Nityo Infotech
Toronto, ON
- Contract
The Senior Data Modeller/Engineer will support Enterprise Payments’ operational data store by combining advanced JSON/MongoDB data modeling with cloud-based data engineering on the Rahona…
Added 18 days ago
T
Senior Data Architect/Modeller – Common & Canonical Data Models
ThoughtStorm
Toronto, ON
- Contract
Hands-on conceptual, semantic, logical and physical data modelling.
Added 18 days ago
V
Data Architect
VySystems
Toronto, ON
- Full-time
…Architecture. Proficient in PySpark and SQL. Strong background in Data Modeling (Dimensional/Data Vault), Data Migration, and Modernization. Experience with Azure Data Factory and ADLS…
Added 18 days ago
M
Senior Data Architect
Miratech
Toronto, ON · North York, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 18 days ago
Senior Data Scientist
TripleLift
Toronto, ON
The Data Scientist / Machine Learning Engineer plays a critical role in improving the performance of TripleLift’s bidding algorithms and developing scalable machine learning solutions that…
Added 18 days ago
WA
Data Scientist
Weekday AI
Remote, Canada
- ₹5,000,000 to ₹15,000,000 INR / year
- Full-time
- Remote
Currently working as a Data Scientist, Machine Learning Scientist, or in a closely related technical role at a leading technology company.
Added 18 days ago
NB
Senior Data Scientist
National Bank of Canada
Montreal, QC
- Full-time
Tools such as the Data Academy, language training, the Harvard Learning Centre
Added 19 days ago
C
Data Scientist, Model Performance Monitoring and Reporting
CIBC
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 19 days ago
M
Senior Data Architect
Miratech
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 19 days ago
M
Senior Data Architect
Miratech
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 19 days ago
SF
Data Scientist, Behavioral Science & AI Evaluation
STAR FIND AI Inc.
Cambridge, ON · Greater Kitchener-Cambridge-Waterloo Metropolitan Area
- $92,000 to $100,000 CAD / year
- Full-time
We are hiring a Data Scientist to improve the quality and usefulness of these experiences through statistical modeling, natural language processing, and product experimentation.
Added 19 days ago
I
Principal Data Architect, FSI
Infostrux
Toronto, ON
- Full-time
Infostrux is one of North America’s fastest-growing data-focused consultancies. Within 18 months of our founding in 2021, Snowflake recognized us at the highest partnership tier - a…
Added 19 days ago
MC
Senior Enterprise Information Data Architect (35902)
Myticas Consulting
Canada
- Contract
Senior Enterprise Information / Data Architect

Maarut

RQ11575 - Data Architect/Modeller - Senior

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Posting language: English
Posted: Oct 26, 2026

Original job description

Responsibilities:

Develops and implements the data architecture for application development in a complex and distributed environment, including the determination of the flow and distribution of data, the location of databases, and data access methods.
Provides a standard common business vocabulary, expresses strategic data requirements, outlines high level integrated designs to meet these requirements, and aligns with the enterprise strategy and related business architecture.

General Skills:

Knowledge and experience in information resource management tools and techniques
Experience with at least two different platforms, operating systems, environments, database technologies, languages and communications protocols
Knowledge of performance considerations for different database designs in different environments
Experience in structured methodologies for the design, development and implementation of applications
Experience in systems analysis and design in large or medium systems environments
Experience in the use of Computer Aided Software Engineering (CASE) tools for the development and documentation of data architectures and detailed data models
Experience in the use of data modelling methods and tools (e.g. ERWIN, VISIO, PowerDesigner) including a working knowledge of metadata structures, repository functions, and data dictionaries
Knowledge and experience in the use of information retrieval packages
Awareness of emerging I&IT trends and directions
Experience in monitoring and enforcing data modelling/normalization standards
Experience in developing enterprise architecture deliverables (e.g. models) Excellent analytical, problem-solving and decision-making skills; verbal and written communication skills; interpersonal and negotiation skills
A team player with a track record for meeting deadlines

Desirable Skills:

Experience with middleware and gateways
Experience in designing/developing an automated data distribution mechanism
Knowledge and understanding of object-oriented analysis and design techniques.
Experience in developing enterprise architecture deliverables (e.g. models) based on Ontario Government Enterprise Architecture processes and practice
Knowledge and understanding of Information Management principles, concepts, policies and practices
Experience creating detailed data standards to enable integration with other systems
Experience reviewing conceptual, logical and physical data models for quality and adherence to standards
Knowledge and understanding of dimensional and relational data models
Knowledge and experience in information resource management tools and techniques

Requirements

Experience and Skill Set Requirements:

Must Haves:

Extensive experience developing enterprise, common, canonical and domain data models that support interoperability, information exchange and data sharing across multiple business domains.
Deep knowledge of data architecture principles, methodologies, standards and best practices.
Demonstrated experience establishing common business definitions, controlled vocabularies, semantic models and common data models to support interoperability, information sharing and enterprise data governance across multiple business domains.
Experience facilitating business and technical workshops to define and reconcile business terminology, business entities, relationships and canonical definitions.
Experience developing business glossaries, reference data models and semantic relationship models.

Skill Set Requirements:

General Skills:

Demonstrated experience developing conceptual, logical and physical data models.
Extensive experience developing enterprise, common, canonical and domain data models that support interoperability, information exchange and data sharing across multiple business domains.
Deep knowledge of data architecture principles, methodologies, standards and best practices.
Experience using data modelling tools such as ERwin, PowerDesigner, Visio or equivalent CASE tools.
Experience defining business entities, relationships, hierarchies, attributes and business rules.
Extensive experience developing semantic data models, controlled vocabularies, business glossaries, canonical business definitions, reference data structures and semantic relationship models.
Demonstrated experience establishing common business definitions, controlled vocabularies, semantic models and common data models to support interoperability, information sharing and enterprise data governance across multiple business domains.
Experience facilitating business and technical workshops to define and reconcile business terminology, business entities, relationships and canonical definitions.
Experience developing business glossaries, reference data models and semantic relationship models.
Experience applying domain-driven modelling and business capability analysis to the development of common data models.
Experience establishing modelling standards, naming conventions and metadata requirements.
Experience designing reference data and master data structures.
Experience supporting interoperability, information exchange and data integration initiatives.
Experience developing architecture artefacts and checkpoint deliverables with traceability to business architecture requirements.
Knowledge of metadata management, data lineage and data governance principles.
Experience supporting data migration, integration and modernization initiatives.
Strong analytical, problem-solving and communication skills.

Resource will support the following deliverables:

Common Data Model (CDM)
Canonical Data Model
Conceptual Data Models
Logical Data Models
Semantic Data Models
Business Glossary
Controlled Vocabulary
Canonical Business Definitions
Reference Data Models
Semantic Relationship Models
Data Standards and Naming Conventions
Architecture artefacts supporting architecture governance and review processes
Data interoperability and information exchange recommendations
Data prototyping and proof-of-concept activities

Desirable Skills:

Experience developing common data models, business vocabularies and semantic frameworks for regulatory, permitting, licensing, compliance or public-sector programs involving multiple business domains and stakeholder groups.
Experience with semantic modelling, ontology development or knowledge graph concepts.
Knowledge of RDF, OWL, graph databases or semantic technologies.
Experience with Databricks, Neo4j, Denodo or equivalent data platforms.
Experience with metadata repositories and governance solutions.
Knowledge and understanding of Information Management principles, concepts, policies and practices.
Knowledge and understanding of AODA and related standards.
Experience supporting permitting, regulatory, licensing or public sector business domains.

Apply on maarutinc.zohorecruit.com About employer

More about this job

Responsibilities

Develop enterprise, common, canonical, domain, and semantic data models and architecture artifacts that support interoperability, information exchange, data sharing, and governance across business domains. Facilitate business and technical workshops to establish shared terminology and definitions, and deliver data standards, glossaries, reference models, and recommendations for integration and information exchange.

Requirements

Requires extensive experience developing enterprise and domain data models, establishing common business definitions and vocabularies, and applying data architecture principles and standards. Candidates should have experience with modeling tools, metadata and governance, workshop facilitation, reference and master data, and supporting interoperability, migration, integration, or modernization initiatives.

Skills

Enterprise Data Modeling
Canonical Data Modeling
Conceptual, Logical, and Physical Data Modeling
Semantic Modeling
Data Architecture
Business Glossaries
Controlled Vocabularies
Reference Data Modeling
Data Governance
Metadata Management
Data Interoperability
Data Integration
Domain-Driven Modeling
Business Capability Analysis
ERwin
PowerDesigner

Visa sponsorship

Not detected in the job text

Keywords

Data Architecture
Enterprise Data Models
Common Data Model
Canonical Data Model
Domain Data Models
Conceptual Data Models
Logical Data Models
Physical Data Models
Semantic Models
Business Glossary
Controlled Vocabulary
Canonical Business Definitions
Reference Data Models
Semantic Relationship Models
ERwin
PowerDesigner
Visio
CASE Tools
Metadata Management
Data Lineage
Data Governance
Data Interoperability
Information Exchange
Data Integration
Domain-Driven Modeling
Business Capability Analysis
Master Data
Ontology Development
RDF
OWL

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Data scientist jobs in Canada

Lead Data Scientist

Data Scientist

Senior Data Scientist

Senior Data Architect

Staff Machine Learning Engineer

RQ11485 - Data Architect/Modeller - Senior

Machine Learning Specialist