Data Scientist III [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Scientist III based in United States.

This role focuses on applying advanced data science and cybersecurity expertise to support complex data transformation, analytics, and security modernization initiatives.
You will develop data-driven solutions that improve cyber defense capabilities and enable secure migration of critical information systems.
The position combines machine learning, automation, data modeling, and security engineering to solve challenging technical problems.
You will collaborate with multidisciplinary teams to analyze complex datasets, develop scalable solutions, and enhance cybersecurity operations.
The ideal candidate thrives in mission-focused environments where innovation, accuracy, and technical excellence are essential.
This opportunity offers the chance to contribute to high-impact projects supporting secure technology transformation across federal systems.

Accountabilities:

As a Data Scientist III, you will be responsible for designing, developing, and supporting data-focused solutions for cybersecurity and technology modernization initiatives. You will leverage analytics, automation, and security expertise to improve data migration processes, strengthen cyber capabilities, and support mission-critical outcomes.

• Develop and support data-oriented solutions for cybersecurity use cases, including machine learning algorithms, data models, and architecture strategies for cyber defense.
• Perform data discovery, analysis, transformation, and migration activities across complex security environments.
• Create automated scripts for data extraction, parsing, processing, and workflow optimization.
• Analyze data exports, map schemas between legacy and modern systems, and transform information into compliant target formats.
• Support migration of security documentation, including System Security Plans, control artifacts, assessment trackers, and Risk Management Framework (RMF) materials.
• Identify, categorize, and prepare RMF artifacts for migration, archival, or modernization activities.
• Leverage AI technologies to improve data migration workflows and increase operational efficiency.
• Review repositories and legacy systems to identify workflows, dashboards, reports, and critical documentation requiring migration.
• Reproduce and optimize workflows, dashboards, and reporting capabilities within modern governance and compliance platforms.
• Develop cybersecurity data visualizations, dashboards, and reporting solutions for high-visibility initiatives.
• Collaborate with technical teams to support cloud, security, and data engineering efforts.

Requirements:

The ideal candidate brings strong experience in cybersecurity data science, automation, and security engineering, with the ability to translate complex technical requirements into reliable data-driven solutions. This role requires a combination of analytical thinking, programming expertise, and knowledge of secure technology environments.

• Bachelor’s degree in Information Management, Cybersecurity, Data Science, or a related technical field.
• 5+ years of professional experience working with cybersecurity and IT data.
• Strong understanding of cybersecurity best practices and security engineering principles.
• Experience working with Risk Management Framework (RMF) processes and security compliance requirements.
• Experience developing and modifying scripts for automation, extraction, and data processing.
• Experience mapping data schemas, inheritance models, and Common Control Catalogs.
• Knowledge of OSCAL and security data transformation standards.
• Experience supporting federal systems and government technology environments.
• Experience working with AWS GovCloud or similar secure cloud environments.
• Understanding of System Development Lifecycle (SDLC) processes and Agile methodologies.
• Familiarity with Cloud Service Provider solutions, including IaaS and SaaS environments.
• Experience with SIEM and SOAR platforms and cybersecurity automation capabilities.
• Knowledge of host-based and network-based security technologies.
• Familiarity with MITRE ATT&CK and D3FEND frameworks.
• Ability to create cybersecurity reporting, dashboards, and data visualizations.
• Experience using AI tools to support data analysis, automation, or migration activities is preferred.
• Ability to obtain and maintain a Top Secret/Q security clearance; candidates must be prepared to begin the clearance process if required.

Benefits:

• Competitive salary paid twice monthly.
• Comprehensive medical coverage with full company-paid medical premiums.
• Company-wide new business incentive programs.
• Recognition and contribution incentives for activities such as technical publications, webinars, and knowledge sharing.
• Three weeks of paid time off plus 11 paid holidays annually.
• 401(k) program with 100% company match on the first 4% contributed.
• Monthly reimbursement support for cell phone and home internet expenses.
• Paid parental leave benefits.
• Investment in training, certifications, and professional development opportunities.
• Fully remote work environment.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.