Description
IMPORTANT
Top skills:
Writing data science algorithms using Big Data technology e.g. Spark Optimisingtuning machine learning modelsExperience in cyber security related field Unilingual is fine.
As a data scientist focused on detecting anomalous security events you must have experience in the development and application of machine learning models on security data sources. These sources include: network traffic, device logs e.g. firewall, operating system and application logs.
Your responsibilities will include developing new models, building a risk monitoring framework and integrating third party open source and commercial code.
You will be working to build a new advanced security monitoring solution in Bell, working on extremely large data volumes. The ability to design effective and efficient algorithms is key.
Your responsibilities:
Provide mathematical projections of system load and code efficiency. Develop supervised and unsupervised machine learning models using Apache Spark. Support the migration of legacy models to a new big data environment. Act as a subject matter expert for development teams building the big data platform ensuring optimal performance of algorithms. Design and implement an effective algorithm to monitor risk for assets on Bell’s network. Integrate and tune third party machine learning models. Support the architecture team in reviewing and selecting new tools and hardware to improve the big data platform. Desired skills:
Master’s Degree or higher in Data Science or equivalent work experience. Proven track record of developing effective and efficient machine learning models. Experience with of Apache Spark and the Hadoop software suite. Ability to code data mining algorithms and scripts (in Python, R, Scala, or similar). Experience working with streaming data sets. Experience with security information and event management tools (SIEM tools, vulnerability analysis tools, etc.) Ability to define, write and test SIEM Usecases Strong ability to troubleshoot and identify points for improvement or optimisation. An understanding of the security measures/ controls for operating systems and application protection systems (Web, Mobile Apps, Cloud Apps, Internal Apps, etc.) Excellent analytical, problem-solving and decision-making skills and very detail oriented Skilled thinker, proactive, team-player highly resourceful and detail oriented Able to communicate effectively the results, by following agile methodologies. Engineering or DevOps experience a plus. Bilingual (French and English) Location: Montreal or Ottawa
