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About Secureworks
Secureworks (NASDAQ: SCWX) is a global cybersecurity leader that secures human progress with Secureworks® Taegis™, a SaaS-based, open XDR platform built on 20+ years of real-world threat intelligence and research, improving customers’ ability to detect advanced threats, streamline and collaborate on investigations, and automate the right actions.
Responsibilities
Work with cross-functional teams to identify and solve cybersecurity problems using machine-learning algorithms.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Research and develop new data models and algorithms to apply to data sets.
Analyze large amounts of information to discover trends and patterns.
Propose solutions and strategies to enhance prioritization and triage systems.
Collaborate with team members, including software engineers, data scientists, product managers to design and implement new and improved solutions.
Communicate results and insights, both verbally and written (including visual graphics), in a clear and concise manner to a non-technical audience.
Requirements
12+ years of related experience in a professional role with a Bachelor’s degree; or 8+ years with a Master’s degree; or 5+ years with a PhD. Degree should be in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred.
Strong experience using machine learning framework and libraries (Scikit-Learn, Metaflow, Sagemaker)
Proficient in creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, natural language
processing, decision trees, neural networks, etc. and knowledge of their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, A/B testing, statistical tests and proper usage, etc.) and experience with applications.
Excellent written and verbal communication skills and ability to work independently and in a team setting.
Proficiency in at least one of the programming languages such as Python, Java, GoLang. Experience with big data technology (Spark) and experience with cloud platforms (AWS, Google Cloud) is desirable.
Ability to write and review production-grade code to ensure good programming practices.
Understanding of cyber security principles and attack vectors is a plus.
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