Hiring: DATA SCIENTIST (CYBER/CLOUD) Company: Quantum Research International Location: Huntsville, AL Job Posted Time: 2026-09-17 12:25:55 Employment Type: On-site Target Skills & Keywords : AWS, Azure, C++, Data Pipeline, Fine-tuning, GCP, Java, LLM, Large Language Model, Linear, MLOps, NumPy, Ollama, Pandas, Program Management, PyTorch, Python, Risk Management, SQL, SageMaker, Security Clearance, TensorFlow, scikit-learn About the job Experience: •5+ years of professional experience as a Data Scientist with emphasis on AI/ML model development and deployment (0–3 years for Junior level). Required Skills: •Job Posting Title DATA SCIENTIST (CYBER/CLOUD) •Is seeking a motivated Mid-Level (or Junior) •Actively facilitate and support 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. •Partner cross-functionally 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. •Perform model validation, performance monitoring, and testing. Qualifications: •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. •Applied hands-on capability in 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. •Demonstrated capacity to translate technical outputs into clear, actionable insights and presentations. •Operational 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 Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!