DATA SCIENTIST (CYBER/CLOUD)

Quantum Research International Inc; Huntsville (AL); On-site; USD 95,000 - 140,000; Full time

Job summary

Quantum Research International, Inc. in Huntsville, AL, is seeking a mid-level data scientist to advance AI/ML and LLM initiatives within a cybersecurity risk platform.

You will develop, deploy, and integrate predictive models processing SBOMs, CVEs, and other data to generate actionable insights for mission-critical decisions. You will collaborate with analysts and engineers, optimize models for scale and usability, validate performance, and contribute to MLOps.

Qualifications

• Bachelor's degree required; Master's preferred in Data Science, CS, Statistics, Mathematics, or related field.
• 2-5+ years of professional experience as a Data Scientist with emphasis on AI/ML model development and deployment.
• Proficiency in Python; experience with R is a plus.
• Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and basic LLM fine-tuning (BERT, GPT-style, LLaMA/Ollama).
• Strong data manipulation (Pandas, NumPy) and SQL; ability to translate outputs into insights.
• Active TS//SCI security clearance (or ability to obtain).
• Preferred certs: CISSP, CySA+, Security+, CEH.

Responsibilities

• Support the formulation, design, and execution of data-driven cybersecurity risk projects.
• Develop, fine-tune, and deploy AI/ML models and LLM-based solutions.
• Integrate model outputs into data pipelines, dashboards, and visualizations.
• Collaborate with data analysts, software developers, and cross-functional teams.
• Clean, collate, and preprocess complex datasets from multiple sources.
• Apply statistical methods and ML algorithms to extract insights.
• Perform model validation, performance monitoring, and testing.
• 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.

Skills

Python

SQL

Pandas

NumPy

TensorFlow

PyTorch

Scikit-learn

LLM techniques

MLOps

Visualization

Education

Bachelor's degree in Data Science/CS/Statistics or related field

Master's degree preferred

Tools

TensorFlow

PyTorch

Scikit-learn

Tableau

Power BI

AWS SageMaker

Azure ML

GCP

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.
• Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and basic LLM implementation/fine-tuning (BERT, GPT-style models, LLaMA/Ollama, or equivalents).
• Strong proficiency in data manipulation and analysis (Pandas, NumPy) and SQL.
• Ability to translate technical outputs into clear, actionable insights and presentations.
• Familiarity with cybersecurity data types and concepts (CVEs, SBOMs, vulnerability severity scoring, risk exposure metrics) or enterprise risk management domains is beneficial.
• Active TS//SCI security clearance (or ability to obtain and maintain).
• Preferred certs: CISSP, CySA+, Security+, CEH

Desired/Preferred Skills:

• Prior experience in cybersecurity, defense, national security, or enterprise risk management environments.
• Experience integrating AI/ML or LLM solutions with cloud platforms (AWS SageMaker, Azure ML, GCP) or on-premises systems.
• Knowledge of basic MLOps tools and practices.
• Experience with business intelligence and dashboard tools (Tableau, Power BI).
• Familiarity with big data frameworks or large-scale data processing.
• Additional programming skills (Java, C++) are a plus.
• Strong foundation in statistics, linear algebra, and experimental design.
• This role combines technical AI/ML and LLM contributions with collaboration in a sensitive, cleared environment. Ideal candidates are proactive, eager to learn, and comfortable applying advanced modeling to real-world cybersecurity challenges.

#LI Onsite #LI-JL1

Equal Opportunity Employer/Affirmative Action Employer M/F/D/V:

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity, or any other characteristic protected by law. *Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.