Are you an experienced Data Scientist with a passion for machine learning, cybersecurity, and advanced analytics? M9 Solutions is hiring a Data Scientist II to support a federal government contract. This fully remote position offers the opportunity to work on high-impact cybersecurity and data science initiatives while supporting critical government operations.
Candidates must possess an active Secret security clearance to be considered.
About M9 Solutions
M9 Solutions is a technology consulting and IT services company that delivers innovative solutions to federal government agencies and commercial organizations across the United States. With more than 15 years of successful project delivery, M9 specializes in cybersecurity, cloud migration, software development, data analytics, infrastructure modernization, and IT staffing solutions.
The company has supported over 30 federal agencies and has been recognized multiple times on the Inc. 5000 list of fastest-growing private companies.
About the Role
As a Data Scientist II, you will work remotely in support of a federal client based in Washington, DC. You will be responsible for developing advanced machine learning solutions, cybersecurity analytics, automation tools, and data-driven insights that help improve cyber defense capabilities.
This position is ideal for professionals who enjoy solving complex cybersecurity challenges using data science, machine learning, and cloud technologies.
Key Responsibilities
Machine Learning and Advanced Analytics
- Design and develop machine learning models and algorithms.
- Create innovative analytical methodologies to solve complex cybersecurity problems.
- Apply statistical and machine learning techniques to large datasets.
- Generate actionable insights from structured and unstructured data.
Cybersecurity Data Science
- Develop data models and machine learning solutions for cyber defense initiatives.
- Support cybersecurity operations through advanced analytics.
- Design custom searches, security applications, and automated workflows.
- Analyze security events and improve threat detection capabilities.
Data Engineering and Automation
- Build and maintain data workflows that integrate multiple data sources.
- Engineer scalable data pipelines for cybersecurity and operational analytics.
- Automate security tool management and reporting processes.
- Ensure data integrity, quality, and accuracy across systems.
Cloud and Infrastructure Support
- Work with cloud service providers and cloud-native technologies.
- Utilize Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) solutions.
- Deploy and manage containerized applications using Kubernetes and Docker.
Reporting and Visualization
- Develop dashboards and visualizations for cybersecurity reporting.
- Support executive and operational reporting requirements.
- Present analytical findings to stakeholders and technical teams.
Required Qualifications
Applicants should possess:
- Active Secret Security Clearance.
- Bachelor’s Degree in Computer Science, Data Science, Engineering, Cybersecurity, or a related field.
- Minimum of 3 years of experience in data science, machine learning engineering, data engineering, or software development.
- Strong programming skills in languages such as Python, Java, C++, R, Scala, or similar technologies.
- Experience with Docker and Kubernetes.
- Experience designing machine learning and advanced analytics solutions.
- Knowledge of cloud computing platforms and services.
- Experience working with cybersecurity data and security operations.
Preferred Technical Skills
Cybersecurity Expertise
- Security Information and Event Management (SIEM) platforms.
- Host-based and network security technologies.
- Threat detection and cyber defense methodologies.
- Security analytics and automation.
Frameworks and Methodologies
- MITRE ATT&CK Framework.
- MITRE D3FEND Framework.
- Statistical modeling and predictive analytics.
- Advanced machine learning techniques.
Data Science Capabilities
- Large-scale data analysis.
- Structured and unstructured data processing.
- Data visualization and dashboard development.
- Predictive modeling and anomaly detection.
Salary and Benefits
Competitive Compensation
Salary Range:
- $60,000 – $180,000 USD annually
Actual compensation is determined by experience, skills, education, location, and contract requirements.
Additional Benefits
M9 Solutions offers a comprehensive benefits package designed to support employee well-being, professional growth, and long-term success.
Why Join M9 Solutions?
M9 Solutions combines the agility of a growing technology company with the stability of long-term federal government contracts. Employees gain exposure to cutting-edge cybersecurity initiatives, advanced machine learning projects, and mission-critical federal programs.
This role provides an excellent opportunity to expand your expertise in data science, cybersecurity analytics, cloud computing, and machine learning while contributing to projects that have a direct impact on national security and government operations.
If you have an active Secret clearance and are ready to take your data science career to the next level, this opportunity is worth exploring.