Data Scientist III

This is a fully remote position, open to applicants in District of Columbia.

📋 Description

• Work remotely to support a government contract for a client based in Washington, DC.

• Collaborate on technical solutions and lead the implementation processes.

• Develop and engineer data workflows to integrate diverse data sources.

• Design and create automation for managing security tools.

• Utilize analytical rigor and statistical methods to examine large datasets.

⛳️ Requirements

• An active Secret security clearance is required.

• A Master's or PhD degree in a quantitative field such as Statistics, Engineering, Computer Science, or Economics is required, OR equivalent experience may be considered in lieu of the educational requirement on a year-for-year basis.

• Over 5 years of experience in machine learning engineering, data science, data project engineering, or software development focused on data solutions.

• Proven experience in designing technical solutions and leading a team during the implementation of such designs.

• Proficiency in object-oriented programming languages, including Python, JSON, C++, Java, R, or Scala.

• Familiarity with containerization tools like Kubernetes and Docker.

• Experience in architecting and designing innovative analytic methods using machine learning techniques.

• Background in developing and supporting data-oriented tasks for cybersecurity solutions, which includes crafting machine learning algorithms, data models, or architectural strategies for cyber defense.

• Demonstrated experience in developing and engineering data workflows for merging disparate data sources and extracting data-driven insights.

• Proven skills in designing and developing automation for security tool management, including the creation of customized searches and applications.

• Experience with Cloud Service Provider (CSP) solutions and their resources, including Infrastructure as a Service (IaaS), Software as a Service (SaaS), and Platform as a Service (PaaS).

• Knowledge of Security Information & Event Management (SIEM) and Security Orchestration, Automation, and Response (SOAR) tools and capabilities.

• Ability to utilize a range of data science capabilities and languages, identifying and resolving critical data issues through various methodologies while ensuring data integrity.

• Familiarity with host and network-based security technologies.

• Understanding of the MITRE ATT&CK and D3FEND frameworks.

• Capability to apply analytical rigor and advanced statistical/machine learning methods to analyze large datasets.

• Ability to analyze structured and unstructured data to address multiple complex cybersecurity challenges using advanced statistical techniques and mathematical analyses.

• Skills to support high-visibility reporting on cybersecurity data through the development of data visualizations and/or dashboards.

• A Certified Analytics Professional (CAP) certification is mandatory.

🏝️ Benefits

• M9 Benefits - https://m9solutions.com/why-join-m9/#our-benefits