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Publié il y a 13 jours

Scientist, Data Research

@ Cameco Corporation-Saskatoon

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Saskatoon, Saskatchewan

Temps plein4+ ans d’expérience
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SIGNAUX

En bref

Cameco Corporation in Saskatoon is hiring a Scientist, Data Research for a full-time role focused on independent research and development of advanced ML/AI and predictive analytics solutions for operational and business challenges. The work includes analyzing large datasets, building mathematical models and simulations, and leading innovation from proof-of-concept through deployment. A PhD and four to eight years of combined research and industry experience are required.

Responsabilités :

  • Conduct independent ML/AI and predictive analytics research and validation
  • Analyze large complex datasets to identify performance drivers
  • Develop mathematical models, simulations and digital twins
  • Support pilot testing and deployment of AI-enabled solutions
  • Communicate technical findings to specialists and leadership

Résumé des exigences :

  • PhD in data science, engineering, computer science or applied mathematics
  • Four to eight years combined research and industry experience
  • Expert proficiency in Python
  • Experience with PyTorch, TensorFlow and SciPy

Outils et compétences

PythonPyTorchTensorFlowSciPy
Source et dates

Flux d’un site d’emploi · saskjobs

Date publiée par l’employeur
2026-10-26
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

NiveauSenior
DomaineDonnées et analytique
Expérience4 an(s) et plus
Heures par semaine40 (estimé)
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationDoctorat (exigé)
Domaines d’étudesData science, Engineering, Computer science, Applied mathematics

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

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Cameco Corporation-Saskatoon

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Description

Description

In this role, you will:
-Conduct independent research and develop and validate advanced ML/AI, and predictive analytics solutions to address complex operational and business challenges.
-Collaborate with BTS, Operations, Engineering, and external research partners to translate business opportunities and technical challenges into practical, data-driven solutions.
-Analyze large, complex, and diverse datasets to identify trends, risks, performance drivers, and opportunities for operational optimization and value creation.
-Develop and apply mathematical models, process simulations, optimization algorithms, digital twins, and advanced decision-support tools.
-Create clear and compelling visualizations, technical reports, and presentations that effectively communicate methodologies, assumptions, findings, limitations, and recommendations.
-Support the pilot testing, implementation, monitoring, and continuous improvement of analytical models and AI-enabled solutions within operational environments.
-Lead innovation initiatives from concept development and proof-of-concept through pilot execution, technology validation, and operational deployment.
-Support technology strategy development, research collaborations, intellectual property generation, and long-term technology roadmaps.
-Communicate technical insights and recommendations effectively to both technical specialists and leaderships, enabling informed decision-making and technology adoption.

Required:
-PhD in data science, engineering, computer science, applied mathematics, or a related discipline;
-four to eight years of combined academic research and industry experience developing advanced data models, AI solutions, ML applications, simulation tools, or computational analytics;
-expert proficiency in Python and modern AI/ML frameworks and libraries, including PyTorch, TensorFlow, SciPy, and related data science ecosystems

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