Senior Security Data Scientist
Desjardins
full-time
Posted on:
Location Type: Hybrid
Location: Montréal • Canada
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Job Level
About the role
- Help support, maximize and automate security decision-making using artificial intelligence
- Improve analytics practices within the Desjardins Group Security Office (DGSO)
- 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
- 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
- Communicates effectively
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
artificial intelligencedata analysisquantitative analysismachine learningPythondeep learninggenerative AIApache Sparkdata science methodologiesanalytical product development
Soft skills
communicationcollaborationproblem-solvinganalytical thinkinginterpersonal skillsadaptabilityorganizational skillseffective communicationplain language techniquesteam alignment