Publié il y a 2 mois
Senior Data Scientist – Decision Intelligence
@ Xanadu
Toronto, Ontario
En bref
Xanadu is hiring a Senior Data Scientist to lead a unified decision intelligence product that fuses R&D data from fabrication, device characterization, chip design, system architecture and software into insights for engineers and leadership. The role owns the product vision and roadmap, applies AI and ML methods to pattern discovery and anomaly detection, and provides technical direction to data engineers. Full-time, base salary 140,000 to 190,000 CAD plus equity and benefits.
Responsabilités :
- Own product vision and roadmap for a cross-domain insights platform
- Apply AI and ML methods to surface patterns and anomalies in hardware data
- Design intelligent discovery experiences beyond static dashboards
- Fuse heterogeneous data sources into unified analytical views
- Provide technical direction to data engineers and analysts
Résumé des exigences :
- Quantitative bachelor's degree; MSc or PhD preferred
- 7+ years in data science or applied ML with shipped products
- Strong statistical modeling and machine learning foundations
- Production-quality Python, SQL or Spark
- Experience mentoring or leading junior data scientists
Outils et compétences
Source et dates
Type de source non vérifié · hibob
- Date publiée par l’employeur
- 2026-09-01
- Première détection par notre source
- 2026-10-27
- Mise à jour du dossier source
- 2026-10-27
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Données et analytique |
| Expérience | 7 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (exigé), Maîtrise (préféré), Doctorat (préféré) |
| Domaines d’études | Physics, Mathematics, Computer Science, Data Science, Machine Learning |
| Avantages mentionnés | Actions ou participation |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Xanadu
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Description complète de l’entreprise
Xanadu Quantum Technologies Inc. is a Canadian quantum technology company, and one of the world's leading photonic quantum hardware providers. Founded in 2016, Xanadu's mission is to build quantum computers that are useful and available to people everywhere. To achieve this mission, the company has taken a full-stack approach and builds hardware, software, and pursues state-of-the-art research with select partners. The company is also advancing the field of quantum machine learning (QML) through the development of PennyLane, an open-source project that has become a leading software library among quantum researchers and developers. Xanadu is bringing together exceptional minds from around the world to build something extraordinary. Learn more at xanadu.ai
- Abonnés LinkedIn
- 56 801
- Personnes associées sur LinkedIn
- 342
- Bureaux déclarés
- Toronto, Ontario M5B 2H7, CA
- Autres noms enregistrés
- Xanadu
- Spécialités
- Quantum Computing
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Cloud Computing
- Quantum Simulations
- and Quantum Algorithms
- Le profil indique une agence de recrutement
- Non
Xanadu Quantum Technologies Inc. is a Canadian quantum technology company, and one of the world's leading photonic quantum hardware providers. Founded in 2016, Xanadu's mission is to build quantum computers that are useful and available to people everywhere. To achieve this mission, the company has taken a full-stack approach and builds hardware, software, and pursues state-of-the-art research with select partners…
| Champ | Valeur |
|---|---|
| Secteur | Computer Hardware Manufacturing |
| Taille | 51-200 employees |
| Siège social | Toronto, Ontario |
| Type d’organisation | Privately Held |
| Fondée en | 2016 |
| Spécialités | Quantum ComputingArtificial IntelligenceMachine LearningDeep LearningCloud ComputingQuantum Simulationsand Quantum Algorithms |
| Offres sur Jobsy | 75 |
| Voir la page |
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 Senior 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. The base salary range is 140,000 - 190,000 CAD. 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 [email protected].
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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