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Intermediate Data Scientist, Security Analytics

Ref: CA_EN_6_919740_1357295

Posted on 29 October 2020
Location
Toronto, Ontario
Contract Type
Temporary/Contract

Data Analyst, Security Analytics

Duration: 3 months

Location: Remote (Toronto or Waterloo areas)

Our client is seeking a Data Analyst that will assist them in discovering insights hidden in vast amounts of network and security log data, help improve monitoring and control of advanced cyber threats, and implement User and Behaviour Analytics (UEBA) solutions.

Your primary focus will be in applying data mining techniques, doing statistical analysis, and developing actionable reports with data visualizations, all integrated with their existing products on AWS.

Responsibilities:

  • Perform large-scale data analysis and developeffective statistical and machine learning models for improving Cybersecurity within the organization
  • Provide planning teams with key research and insights that help steer quality digital strategies
  • Process, cleanse, and verify the integrity of data used for analysis
  • Effectively deliver analytical presentations for various audiences
  • Develop complex SQL queries across multiple data sources to support analysis
  • Accurately prepare and promptly complete all required supporting documentation for assigned projects/tasks (i.e., reports ,change requests, presentations, correspondence/communications, tables, charts, files, etc.)
  • Prioritize and manage your own work load independently in order to deliver quality results and meet pre-determined timelines
  • Required Skills:

  • Bachelor’s Degree in a highly quantitative field (Computer Science, Statistics, Mathematics, etc.)
  • 1-2 years’ experience in data analysis OR graduate degree in quantitative field
  • Experience with Data Visualization and Reporting tools (Tableau Desktop, Power BI, AWS Quicksight)
  • Intermediate to advanced experience with relational databases (i.e. MySQL, PostgreSQL, etc.)
  • Experience using statistical computer languages (Python ,R) to manipulate data and draw insights from large data sets
  • Excellent written and verbal communications skills
  • Creative and analytical thinker who is self-driven and capable of working in a fast-paced environment
  • Familiarity with Amazon Web Services including Athena, Redshift, Quicksight and RDS
  • Ability to clean and dive into messy data to find insights
  • Knowledge of machine learning or statistical libraries: SparkML, Scikitlearn, Caret, Mlr, MLlib
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