Senior Principal Software Engineer - Data Science - Secureworks

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.

We enjoy competitive compensation and benefits packages, and reward and recognize our employees for exceptional results. A constant focus on continued learning and growth keeps our team members engaged and excited about “what’s next.” We offer flexible work options when available, and emphasize the importance of work-life balance. We know that when our people are rewarded, recognized, and rejuvenated, we win as a team.

Role Overview

We are looking for a Data Scientist who will collaborate with a multidisciplinary team to support our Prioritization and Triage engine. The ideal candidate is adept at using large data sets to find opportunities for product and process improvements, and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data analysis methods and data science libraries to build and implement new models. 

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.

Work Environment

We are a remote first team and are geographically distributed across the US, Canada, and UK - we utilize tools to facilitate communication and collaboration like Slack, Google Meet, Google Docs, Miro, and Lucid Charts. We also believe in a strong work-life balance and providing support for team members to accomplish that. We are also a family-first company that values our team members and has benefits and a culture that will help them through important life events, such as caring for family, parental leave, etc. We also value continuing education and skills development through things like internal tech talks, external technical presentations to our teams, and other opportunities for training and education.

Secureworks is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Secureworks are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Secureworks will not tolerate discrimination or harassment based on any of these characteristics.

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