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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