> Markdown version of [/jobs/ext/4640831-data-scientist-skill-level-3-vv-1483](https://www.wearedevelopers.com/jobs/ext/4640831-data-scientist-skill-level-3-vv-1483). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist Skill Level 3 - VV-1483 - **Company:** Nyla Technology Solutions - **Location:** Anne Arundel County, MD, United States - **Salary:** $210,000.0 - $249,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Big Data, Cloud Computing, Static Program Analysis, Computational Linguistics, Distributed Data Store, Dynamic Program Analysis, Intrusion Detection and Prevention, Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, Tensorflow, Reverse Engineering, Software Engineering, Systems Integration, Scripting, Feature Engineering, Pytorch, Delivery Pipeline, Apache Spark, Deep Learning, Malware, Pandas, Scikit Learn, Kubernetes, Information Technology, IDA Pro, Transformer Architectures, Machine Learning Operations, Feature Extraction, Cyber Warfare - **Published:** November 8, 2026 - **Apply:** https://www.thejobnetwork.com/job/d67313ff-f42b-4c51-b02d-414fc6b4cb9e/data-scientist-skill-level-vv ## About the Role * AI/ML Model Development Deployment:Proven experience designing, training, evaluating, and deploying machine learning models (e.g., scikit-learn, TensorFlow, PyTorch) into operational pipelines. + Malware Analysis Support Domain Familiarity: Working knowledge of malware triage principles, static/dynamic analysis outputs, binary feature extraction, and threat indicator identification. + Polyglot Data Science Scripting: Strong programming capabilities in Python (pandas, NumPy) and associated data science toolkits for feature engineering and dataset curation. + MLOps Automated Pipelines: Practical experience containerizing, integrating, and monitoring AI/ML models within automated software delivery workflows. + Collaborative Technical Communication: Ability to partner directly with reverse engineers, malware analysts, and software developers to translate operational requirements into predictive machine capabilities. + + Education: Bachelor's Degree in Data Science, Computer Science, Computational Linguistics, Mathematics, or a related technical discipline, PLUS 10+ years of professional experience in data science, NLP, or software engineering OR Associate's Degree PLUS 12+ years of specialized technical experience in lieu of a degree. , Desired Skills * Deep Learning NLP for Malware: Exposure to deep learning architectures, Transformer models, or Natural Language Processing (NLP) techniques applied to binary code analysis or log processing. * Reverse Engineering Tool Integration: Familiarity with parsing outputs from binary analysis platforms like Ghidra, IDA Pro, or Cuckoo Sandbox for feature extraction. * Big Data Cloud MLOps: Experience deploying ML inference services across cloud infrastructure (AWS SageMaker, Kubernetes) or distributed data engines (Apache Spark). ## Description We are seeking an innovative AI/ML Malware Engineer to bridge cutting-edge artificial intelligence with front-line cyber defense. In this high-impact role, you will work directly alongside Malware Analysts to design, train, evaluate, and deploy machine learning models that automate threat detection, artifact classification, and binary triage. Leveraging modern MLOps pipelines and machine learning frameworks, you will build automated models capable of recognizing complex malware behaviors, detecting obfuscation techniques, and processing high-volume payload samples. Your work will directly empower analysts to stay ahead of sophisticated cyber adversaries by transforming raw technical indicators into actionable intelligence.