Consultant cybersécurité hybride à Montréal chez I - TRACING, pure - player indépendant en sécurité informatique. Conception, déploiement et support de solutions IAM, réseau, systèmes et applications.
About the role
- Senior Security Data Scientist at Desjardins Group utilizing AI for security enhancements. Analyzing data to support security operations and methodologies development for comprehensive analytics.
Responsibilities
- Transform and analyze complex, large-scale data to extract the knowledge needed to make decisions.
- Design innovative data analysis approaches (diagnostic, predictive, prescriptive and cognitive) in partnership with experts on the risks associated with application and business processes.
- Implement, evaluate, document and monitor artificial intelligence solutions that are tailored to the monitoring needs of security operations teams.
- Contribute to the industrialization and development of security analytics methodologies, including by participating in research projects with partners in the industry and academic ecosystem.
- Identify, evaluate and prioritize data valorization opportunities, define solutions and develop an analytical roadmap that is integrated with Desjardins Group’s business plan and strategic vision.
- Ensure delivery teams are aligned in terms of the design and development of highly complex analytical solutions.
Requirements
- Bachelor's degree in machine learning, computer science, statistics, mathematics or a related field
- A minimum of six years of relevant experience in quantitative analysis or modelling
- Experience developing and implementing artificial intelligence solutions
- Knowledge of French is required
- Intermediate knowledge of English due to the nature of the duties or work tools or because the position involves interactions with English-speaking partners, members and/or clients
- Expertise with data science methodologies and their limitations (machine learning, statistics, artificial intelligence, etc.)
- Expertise in Python programming (scikit-learn, pyspark, pandas, numpy, scipy, langchain, etc.) and in analytical product development practices (git, mlflow, familiarity with MLOps concepts)
- Proficiency of development in Apache Spark (via pyspark or scala, knowledge of Databricks)
- Proficiency of deep learning techniques and development frameworks (keras, tensorflow, pytorch, etc.)
- Proficiency of generative AI-based development approaches (LLMs, RAGs, prompt engineering, etc.)
- Knowledge of security data (application logs, transaction logs, etc.)
- Knowledge of cloud platforms such as Microsoft Azure
- Professional knowledge of a security sub-area
- Familiarity with using plain language techniques to communicate information through both speech and writing
Benefits
- Competitive salary and annual bonus
- 4 weeks of flexible vacation starting in the first year
- Defined benefit pension plan that provides predictable, stable income throughout retirement
- Group insurance including telemedicine
- Reimbursement of health and wellness expenses and telework equipment
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