DATA SCIENTIST (CYBER/CLOUD)

Job Description

Job Description

Job Description

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Job Posting TitleDATA SCIENTIST (CYBER/CLOUD)

Job Description

Overview:

Quantum Research International, Inc. (Quantum) provides our national defense and federal civilian and industry customers with services and products in the following main areas: 1) Cybersecurity and Information Operations; 2) Space Operations and Control; 3) Aviation Systems; 4) Ground, Air and Missile Defense, and Fires Support Systems; 5) Intelligence Programs Support; 6) Experimentation and Test; 7) Program Management; and (8) Audio/Visual Technology Applications. Quantum's Corporate Office is located in Huntsville, AL, but Quantum actively hires for positions nationwide and internationally. We pride ourselves on providing high quality support to the U.S. Government and our Nation's Warfighters. In addition to our corporate office, we have physical locations in Aberdeen, MD; Colorado Springs, CO; Crestview, FL, Orlando, FL, and Tupelo, MS

Mission:

Quantum Research Int is seeking a motivated Mid-Level (or Junior) Data Scientist to support advanced AI/ML and large language model (LLM) initiatives within a cybersecurity and risk analysis platform. You will contribute to the development, deployment, and integration of predictive models and LLM-based solutions to process structured and unstructured data (including SBOMs, CVEs, vulnerability data, and critical program information), generate actionable insights, and support data-informed decision making in a high-stakes defense environment.

Responsibilities: 

• Support the formulation, design, and execution of data-driven projects focused on cybersecurity risk prioritization, vulnerability analysis, exposure trends, anomaly detection, and automated risk reporting.
• Develop, fine-tune, and assist in deploying AI/ML models and LLM-based solutions (e.g., for natural language understanding, summarization, and insight generation from unstructured sources such as SBOMs and technical documentation).
• Help integrate model outputs into data pipelines, dashboards, and visualization tools to deliver clear insights for technical and non-technical stakeholders.
• Collaborate with data analysts, software developers, and cross-functional teams to embed predictive analytics and LLM capabilities into existing platforms.
• Clean, collate, and preprocess complex datasets from multiple sources; assess and improve data quality.
• Apply statistical methods, machine learning algorithms, and LLM techniques to extract actionable insights under guidance.
• Perform model validation, performance monitoring, and testing.
• Optimize models for accuracy, scalability, and usability.
• Produce and present reports, summaries, and visualizations that communicate findings and implications.
• Stay current with advancements in AI/ML, LLMs, and cybersecurity data domains.
• Contribute to MLOps practices including model versioning and deployment support.
• Assist in LLM-driven techniques for assessing compromised datasets to gauge impact and score risk.

  Requirements:

• 2–5+ years of professional experience as a Data Scientist with emphasis on AI/ML model development and deployment (0–3 years for Junior level).
• Bachelor's degree required; Master's preferred in Data Science, Computer Science, Statistics, Mathematics, or a closely related field.
• Proficiency in Python (primary); experience with R is a plus.