Dell Senior Principal Software Engineer - Data Science Secureworks 

United States, Georgia, Savannah 

813268039

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.