M9 SolutionsRemote
Data Scientist II
District of Columbia, United States of America
Full Time
1 hour ago
$60,000 - $180,000 USD
No Visa Sponsorship
Key skills
CloudCyber SecurityDockerJavaKubernetesPythonScalaC++CRMachine LearningMLSaaS
About this role
Role Overview
- Work remotely in support of a government contract for a client located in Washington, DC.
- Develop and support data-oriented tasks for cybersecurity solutioning.
- Architect and design analytic methods using machine learning.
Requirements
- Active Secret security clearance.
- Bachelor’s Degree.
- 3+ years of experience with machine learning engineering, data science, data project engineering, or software development for data solutions.
- Experience with object-oriented programming languages (such as Python, JSON, C++, Java, R, or Scala).
- Experience with containerization tools, including Kubernetes and Docker.
- Experience with architecting and designing novel analytic methods using machine learning methodologies.
- Experience with developing and supporting data-oriented tasks for cybersecurity solutioning, including developing machine learning algorithms, data models, or architecture strategy for cyber defense purposes.
- Experience with developing and engineering data workflows to merge disparate data sources and draw data-driven insights.
- Experience with designing and developing automation for security tools management, and creating customized searches and applications.
- Experience with Cloud Service Provider (CSP) solutions and their resources (Infrastructure as a Service (IaaS), Software as a Service (SaaS), and Platform as a Service (PaaS).
- Experience with Security Information & Event Management (SIEM) and Security.
- Ability to leverage a variety of data science capabilities and languages, analyze and resolve critical data issues using various methodologies, and ensure data integrity.
- Familiarity with host and network-based security technologies.
- Knowledge of MITRE ATT&CK and D3FEND frameworks.
- Ability to apply analytical rigor and statistical/ML methods to analyze large amounts of data, using advanced statistical techniques.
- Ability to perform analysis of structured and unstructured data to solve multiple and complex cybersecurity problems utilizing advanced statistical techniques and mathematical analyses.
- Ability to support high-visibility reporting on cybersecurity data through the development of data visualizations and/or dashboards.
Tech Stack
- Cloud
- Cyber Security
- Docker
- Java
- Kubernetes
- Python
- Scala