Senior Security Data Scientist

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About the role

  • Senior Security Data Scientist leveraging AI solutions to enhance security analytics within Desjardins Group. Collaborating across teams to transform data into actionable insights for improved security posture.

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
  • Communicates effectively, Complexity, Innovation, Interpersonal Savvy, Plans and aligns

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

Job type

Part Time

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

ApacheAzureCloudKerasNumpyPandasPySparkPythonPyTorchScalaScikit-LearnSparkTensorflow

Location requirements

HybridMontrealCanada

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