Find work in Canada.

485,444 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 2 days ago
J
Materials scientist
JobsMedia.io
Sherbrooke, QC
- Full-time
Added 2 days ago
W
Machine Learning Scientist I
Wayfair
Toronto, ON
- $132,440 to $145,684 CAD / year
- Full-time
…Engineering, Computer Science, Statistics/Biostatistics, Economics, Physics, Robotics, Operations Research, etc.) or Bachelor's degree in a quantitative field + 1+ years of…
Added 2 days ago
T
Applied Machine Learning Scientist I ATH# 5645 (Tabular Deep Learning Model Validation)
TD
Toronto, ON
- Full-time
The position reports to Senior Applied Machine Learning Scientist in the AI/ML Model Validation team and is primarily focused on the validation and review of Deep Learning models.
Added 2 days ago
OL
Research scientist, physics
O/E Land Inc.
Montreal, QC
- Full-time
Added 3 days ago
AS
Scientifique spécialisé(e) en gravure sèche | Dry Etch Scientist
Anyon Systems Inc.
Sherbrooke, QC
- Full-time
…and has dedicated hardware and software teams to achieve its research and development (R&D) goals. We are looking for a Dry Etch Scientist for a position based in…
Added 3 days ago
NQ
materials scientist
Nord Quantique
Sherbrooke, QC
- Full-time
Added 3 days ago
OL
research scientist, physics
O/E Land Inc.
Montreal, QC
- Full-time
Added 4 days ago
X
Data Scientist - Experimental Physics
Xanadu
Toronto, ON
- Full-time
The ideal candidate is an impact-driven data scientist capable of abstracting complex hardware problems, isolating leading-order effects from secondary issues, and translating those…
Added 4 days ago
A(
Machine Learning Resident - Client: Trufla (12 month term)
Amii (Alberta Machine Intelligence Institute)
AB · Edmonton, AB
- Full-time
Xu Han, Machine Learning Scientist and Amor Provins, Product Owner, Advanced Technology
Added 4 days ago
X
Staff Data Scientist - Decision Intelligence
Xanadu
Toronto, ON
- Full-time
As a Staff Data Scientist, you will lead the design and development of a unified decision intelligence product that fuses data from across Xanadu's R&D efforts – fabrication, device…
Added 4 days ago
NQ
research scientist, physics
Nord Quantique
Sherbrooke, QC
- Full-time
Design and conduct research in experimental and theoretical physics
Added 4 days ago
W
Machine Learning Scientist I
Wayfair
Toronto, ON
- $132,440 to $145,684 CAD / year
- Full-time
…Engineering, Computer Science, Statistics/Biostatistics, Economics, Physics, Robotics, Operations Research, etc.) or Bachelor's degree in a quantitative field + 1+ years of…
Added 5 days ago
T
Research Machine Learning Scientist II
TD
Toronto, ON
- Full-time
Conduct internal and external research projects; support the development/ delivery of presentations / communications to management or broader audience.
Added 5 days ago
W
Machine Learning Scientist I
Wayfair
Toronto, ON
- $132,440 to $145,684 CAD / year
- Full-time
…Engineering, Computer Science, Statistics/Biostatistics, Economics, Physics, Robotics, Operations Research, etc.) or Bachelor's degree in a quantitative field + 1+ years of…
Added 6 days ago
OL
Research Scientist
OTI Lumionics Inc.
Mississauga, ON
- Full-time
Perform literature review on research projects
Added 6 days ago
Staff Research Scientist (AI for Self-Driving Labs, 2-year Term)
University of Toronto
Toronto, ON
…The AC develops self-driving laboratories (SDLs), autonomous research platforms that integrate artificial intelligence, robotics, automation, and advanced computing to dramatically reduce…
Added 8 days ago
NQ
research scientist, physics
Nord Quantique
Sherbrooke, QC
- Full-time
Design and conduct research in experimental and theoretical physics
Added 8 days ago
W
Machine Learning Scientist I
Wayfair
Toronto, ON
- $132,440 to $145,684 CAD / year
- Full-time
…Engineering, Computer Science, Statistics/Biostatistics, Economics, Physics, Robotics, Operations Research, etc.) or Bachelor's degree in a quantitative field + 1+ years of…
Added 8 days ago
TU
Black Faculty Position – Faculty of Science at the University of British Columbia, Vancouver – Assistant Professor
The University of British Columbia
Vancouver, BC
- Full-time
…computer science, ecology, fisheries, mathematics, oceanography, physics, statistics, zoology, or related disciplines. The candidate should be a creative, innovative scientist, with…
Added 8 days ago
Staff Applied Scientist
Upstart
Canada
As an Applied Scientist, you will research and implement enhancements to Upstart’s core unsecured underwriting model. Your work will directly influence credit decisioning and help the team…
Added 9 days ago
S
Data Scientist - Applied AI/Gen AI
Sanofi
Toronto, ON
- Full-time
You are a dynamic data scientist interested in challenging the status quo to ensure development and impact of Sanofi's AI solutions for the patients of tomorrow. You are an influencer and…
Added 9 days ago
UO
Black Faculty Position – Faculty of Science at the University of British Columbia, Vancouver – Assistant Professor
University of British Columbia
Vancouver, BC · UBCV | Earth Sciences Building (ESB)
- Full-time
…computer science, ecology, fisheries, mathematics, oceanography, physics, statistics, zoology, or related disciplines. The candidate should be a creative, innovative scientist, with…
Added 9 days ago
M
Senior Data Scientist
Mphasis
Calgary, AB
- Full-time
Education and background: a quantitative degree - statistics, computer science, engineering, operations research, economics, mathematics, physics, or similar. A master’s is preferred. A PhD…
Added 9 days ago
M
Research Scientist – Computer Vision (Body Pose Detection)v1
Mecka.ai
Richmond Hill, ON
- $150,000 to $200,000 USD / year
- Full-time
…human locomotion, and human-scene interaction. We are hiring a Research Scientist to architect and train proprietary foundation models from scratch focused on 3D human body tracking and…
Added 9 days ago
O
Staff Data Scientist - Wildfire
Overstory
Canada
- Full-time
We are excited to add a Staff Data Scientist, Wildfire to our team. This individual will lead the scientific foundation of our Fuel Detection Model, the core engine that translates…

Xanadu

Staff Data Scientist - Decision Intelligence

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 20, 2026
Posting language: English
Posted: Oct 21, 2026

Original job description

About Xanadu:

Xanadu’s mission is to build quantum computers that are useful and available to people everywhere.

At Xanadu, we are learners, innovators, researchers, collaborators and problem solvers. We are creating something that has never been built before. What we are doing is extremely hard, the classic moon shot. Few people in their life will be able to be a part of something like this, where if we are successful, the technologies we develop will solve some of the world’s most challenging problems and literally change the world. And that is something to be excited about!

Your role and responsibilities:

As a Staff Data Scientist, you will lead the design and development of a unified decision intelligence product that fuses data from across Xanadu's R&D efforts – fabrication, device characterization, chip design, system architecture, and software developments – into actionable insights for engineers and leadership. You will leverage AI and modern ML techniques as primary tools for pattern discovery, anomaly detection, and insight generation across complex, unstructured, and high-dimensional datasets. This is not a traditional DS role – you will build intelligent, AI-driven analytical experiences that scale with the complexity of our data and accelerate decision-making across the organization. Specifically, you will:

Own the product vision and roadmap for a cross-domain insights platform spanning research and operations.
Apply AI/ML methods – including large language models, representation learning, and generative approaches – to surface patterns, correlations, and anomalies across heterogeneous hardware data.
Design intelligent discovery experiences that go beyond static reporting and traditional BI dashboards – enabling engineers and decision-makers to interrogate data naturally and uncover non-obvious relationships.
Fuse heterogeneous data sources into unified analytical views.
Define analytical requirements and success metrics that shape how data pipelines are built and how the platform evolves.
Provide technical direction to data engineers and data analysis specialists, ensuring coherent alignment toward the product vision.
Drive adoption by deeply understanding user workflows, iterating on feedback, and shipping incrementally.

Basic qualifications and experience:

BSc. in Physics, Mathematics, Computer Science, Data Science, AI, Machine Learning or a related quantitative field.
7+ years of experience in data science or applied ML, with demonstrated ownership of data-driven products (not just analyses – you've shipped tools and platforms that people rely on daily).
Proven ability to unify heterogeneous data sources – you've built systems that integrate multiple databases, schemas, and data formats into coherent analytical products.
Product mindset – you think in user problems, adoption loops, and iterative delivery.
Deep comfort with noisy, real-world experimental data – you understand measurement uncertainty, systematic vs. random variability, and the gap between models and reality.
Strong foundations in statistical modeling and machine learning – Bayesian inference, hierarchical models, time-series analysis, dimensionality reduction, anomaly detection.
Production-quality Python, SQL, Spark, or other DS stack. Experience building AI-driven analytical tools and integrating ML models into user-facing products.
Excellent communication – you can present to both PhDs and VPs, translating between technical depth and strategic clarity.
Experience mentoring or technically leading junior data scientists or analysts.

Preferred qualifications and experience:

MSc/PhD in Physics, Applied Mathematics, Computer Science, Data Science, or a related quantitative field.
Experience in hardware, semiconductor, photonics, electrical engineering, or advanced manufacturing environments.
Experience with knowledge graphs, semantic data layers, or cross-referencing across complex data ontologies.
Experience with signal processing, control theory, deep learning, active learning, and optimization.
Exposure to simulation workflows (electromagnetic, circuit-level, or system-level) and their data outputs.
Experience with cloud infrastructure (AWS preferred) and data pipeline orchestration.
Experience applying LLMs, retrieval-augmented generation (RAG), or AI agents to data analysis workflows.
Familiarity with quantum computing or photonic integrated circuits.

This is for a new position. Your base salary will be determined based on your location, experience, and internal benchmarks. You will also be eligible for equity and benefits.

Our values are important. They are fundamental and lay the foundation for culture at Xanadu. Learn more about our values here.

We are an equal opportunity employer and encourage candidates of all backgrounds to apply. We are committed to building an inclusive, safe, and equitable culture and fostering an environment where our employees feel included, valued, and heard. We are committed to meeting the needs of all individuals and support a barrier-free workplace. Should you require accommodations at any point during the recruitment process please contact Recruiting at recruiting@xanadu.ai.

Please be advised that we may use artificial intelligence (AI) tools to assist in the screening and assessment of applicants for this position. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply About employer

More about this job

Responsibilities

Lead the vision, roadmap, and development of a cross-domain decision intelligence platform that unifies research and operational data and uses AI/ML to surface patterns, correlations, and anomalies. Guide data specialists and engineers, shape analytical requirements and success metrics, and drive adoption through user-focused iteration and incremental delivery.

Requirements

Requires a bachelor's degree in a quantitative field and 7+ years of data science or applied ML experience, including ownership of production data products and integration of heterogeneous data sources. Candidates should have strong statistical and ML foundations, production-quality programming skills, experience building AI-driven analytical tools, comfort with experimental data, and the ability to communicate and technically lead others.

Skills

Data Science
Machine Learning
Statistical Modeling
Bayesian Inference
Hierarchical Models
Time-Series Analysis
Dimensionality Reduction
Anomaly Detection
Python
SQL
Apache Spark
Large Language Models
Representation Learning
Generative AI
Data Integration
Technical Leadership

Benefits

Equity
Benefits

Visa sponsorship

Not detected in the job text

Keywords

Decision Intelligence
Data Science
Applied Machine Learning
Large Language Models
Representation Learning
Generative AI
Anomaly Detection
Bayesian Inference
Hierarchical Models
Time-Series Analysis
Dimensionality Reduction
Python
SQL
Apache Spark
Data Pipelines
Knowledge Graphs
Semantic Data Layers
Signal Processing
Control Theory
Active Learning
Optimization
Retrieval-Augmented Generation
AI Agents
Cloud Infrastructure
AWS
Data Pipeline Orchestration
Semiconductors
Photonic Integrated Circuits
Quantum Computing

Report this job