Applied AI Research Scientist – Data Scientist / Scientifique en IA Appliquée – Scientifique de Données
HybridQuébec, Quebec, Canada
Job Summary
Develop advanced data-driven models and analytics to enhance the safety, reliability, and efficiency of mission-critical systems in defense, aerospace, and high-stakes environments. Collaborate with engineers, software developers, and domain experts to design, test, and operate systems using machine learning techniques that comply with strict regulatory standards. Implement Proofs of Concept (PoCs) and guide their maturity through prototypes and demonstrators to illustrate full business potential. Quickly assess new AI and ML techniques to decide on adoption, adaptation, or discard, while presenting and continuously improving novel ideas. Demonstrate deep technical skills in developing and training AI/ML models, including Generative AI, Agentic AI, and LLM workflows, supported by a strong scientific method and peer-reviewed publication capabilities. Contribute as a technical subject matter expert to cross-functional research and technology projects within Thales Digital Solutions.
Required Qualifications
- MSc in engineering, computer science, applied mathematics, statistics in a related field of Data Science
- Proficiency in programming languages such as Python, R, or similar, with experience in data processing, cleaning, and analysis
- Solid understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, anomaly detection, and time series analysis
- Experience in training, testing and evaluating AI/ML Models in different domains (vision, text, structured data)
- Demonstrated work experience using Large Language Models (LLM)
- Experience and understanding with sparse and/or dense data representations and strategies for using them
- Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn)
- Strong foundation in mathematics, statistics and probability
- Work experience using Linux OS
- Demonstrated experience in completing an applied research project, from problem to results, with minimal guidance
- Demonstrated leadership abilities in school, civil or business organisations
- Ability to clearly and effectively communicate scientific work through presentations, publications, technical reports, and other forums
- Fluency in French (spoken and written)
- Strong team spirit and teamwork capabilities
- Good communication skills
Desired Qualifications
- Curiosity for what is new
- Willingness to challenge the status quo
- Open-mindedness and out-of-the-box thinking
- Ability to quickly learn and assess new techniques and technologies in order to decide whether to adopt, adapt or discard them
- Ability to come up with new ideas, present them, challenge them and improve them continuously
- Deep, hands-on technical skills in the development and training of AI and ML, with a focus in the development of solutions using Generative AI, whether deployed as Agentic AI or LLM workflows
- Strong understanding of the scientific method and their ability to deliver quality content at all steps of the research process, from the capability to summarize the theoretical background of a novel domain to the dissemination of research outputs through peer-reviewed publications, patents or other means
- Transverse skills that would facilitate the transfer of the work carried out to all stakeholders involved
- Technical subject matter expert to Research and Technology projects across Thales and its business units
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