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Added 6 days ago
NB
Associate Data Analytics
National Bank of Canada
Montreal, QC
- Full-time
Use SQL, Python or other programming tool and business intelligence tools to automate recurring analysis, streamline processes and improve the speed and scalability of reporting.
Added 6 days ago
ET
PL/SQL Developer
Envision Technology Solutions
Montreal, QC
- Contract
We are seeking an experienced PL/SQL Developer with strong Unix/Linux and DB2 database skills to join our team. The ideal candidate will be responsible for designing, developing,…
Added 6 days ago
HV
Optical Supply Chain Analyst
Hoya Vision Care
Mississauga, ON
- Full-time
Experience writing SQL queries and working with large datasets is strongly preferred.
Added 6 days ago
WT
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Wissen Technology
Montreal, QC
- Full-time
We are seeking a Python & Database Engineer with 3–5 years of hands‑on experience in building scalable applications, optimizing databases, and developing automation solutions. The ideal…
Added 6 days ago
PC
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Pwc Canada
Toronto, ON
- Full-time
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Added 6 days ago
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Senior Data Scientist
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- Full-time
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Added 6 days ago
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Lead Data Consultant, Manager
PwC
Toronto, ON
- Full-time
Proficiency in SQL and Python and experience developing maintainable, testable and reusable data engineering solutions.
Added 6 days ago
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Senior Treasury Analyst
TD
Toronto, ON
- Full-time
Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, SQL and R.
Added 6 days ago
M
Senior Business Intelligence Performance Analyst
Metrolinx
Toronto, ON
- Full-time
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Added 6 days ago
Senior Data Engineer
Ipsos
Vancouver, BC
Ingest and assemble data from various disparate sources using a variety of tools, including Python and SQL.
Added 6 days ago
X
Staff Data Scientist - Decision Intelligence
Xanadu
Toronto, ON
- Full-time
Production-quality Python, SQL, Spark, or other DS stack. Experience building AI-driven analytical tools and integrating ML models into user-facing products.
Added 6 days ago
CT
Manager, Statistical Modelling & Advanced Analytics
Canadian Tire Corporation
Toronto, ON
- Full-time
Experience working with large datasets using SQL, Spark, or similar tools
Added 6 days ago
RA
Senior Full Stack Developer (.NET, Cloud & AI)
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Toronto, ON · Greater Toronto Area, Canada
- Contract
3+ years of hands-on development experience using C#, .NET or .NET Core, Python, SQL, and Blazor or similar web application frameworks.
Added 6 days ago
WI
Process & Data Analyst
Wesgar Inc.
Port Coquitlam, BC
- $26 to $30 CAD / hour
- Full-time
Experience with Power BI, Python, or similar analytical tools.
Added 6 days ago
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Digital Operations, Consulting - Senior Associate
PwC Canada
Toronto, ON
- Full-time
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Added 6 days ago
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Java Full Stack Engineer ( AI Engineering)
Astek
Montreal, QC
- Full-time
Experience with Python, SQL or NoSQL databases, data integration, caching, and data-intensive applications.
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Senior Data Scientist
RBC
Toronto, ON
- Full-time
Proficiency in programming languages (Python, R, SQL) and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
Added 6 days ago
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Manager, Marketing Insights & Delivery
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- Full-time
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Principal Software Engineer - .Net/C#
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Montreal, QC
- $150,000 to $200,000 CAD / year
- Full-time
Skills & Tech C# / .NET · WPF · Linux · CI/CD · DevOps · SQL · Agile/Scrum · SDLC · Application Integration · Enterprise UI · Java · Python · C++
Added 6 days ago
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Principal Software Engineer - .Net/C#
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Halifax, NS
- $150,000 to $200,000 CAD / year
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Added 6 days ago
A
AI/ML with Snowflake and or Databricks
Accenture
Mississauga, ON · Montreal, QC
- Full-time
Experience with the following programming languages: Python, C++, Java, R, SQL
Added 6 days ago
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- Full-time
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Added 6 days ago
XI
Analytics Engineer, Network Intelligence
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Added 6 days ago
A
Python Full Stack Developer
Astek
Montreal, QC
- Full-time
Design, develop, and implement scalable solutions using Python and React within a dynamic, agile team.
Added 6 days ago
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Strong Database experience preferably with DB2, SQL Server, PostGreSQL

Xanadu

Staff Data Scientist - Decision Intelligence

Toronto, ON, Canada

Full-time

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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.

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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

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