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Data Scientist (AI/ML) with Security Clearance
Waypoint Human CapitalChantilly, VA🇺🇸United StatesPosted 13 Jul 2026
Quick Overview
Work Type
On Site
Schedule
Employee
Level
Mid Senior
Job Description
Waypoint Human Capital Data Scientist (AI/ML) Chantilly, VA Position Title: Data Scientist (AI/ML) Position Type: Full-Time, Fully On-Site Location: Chantilly, VA Clearance: Active TS/SCI with CI Poly Waypoint's client is seeking a Data Scientist (AI/ML) to join their growing team supporting a National Security customer. This role focuses on leveraging Artificial Intelligence (AI), Machine Learning (ML), advanced analytics, and data engineering to enhance cybersecurity operations, risk management, and enterprise decision-making. The selected candidate will work with large-scale datasets to develop predictive models, automate analysis, and create innovative solutions that improve cyber situational awareness and mission effectiveness. Responsibilities * Develop, train, test, and deploy machine learning and artificial intelligence solutions to support cybersecurity and risk management initiatives. * Analyze large structured and unstructured datasets from vulnerability management, authorization, compliance, and cybersecurity tools. * Design predictive analytics models to identify trends, anomalies, and emerging risks. * Develop data pipelines and automated workflows to collect, transform, and process data from multiple sources. * Create interactive dashboards, visualizations, and executive-level reporting products using tools such as Tableau. * Apply statistical analysis, machine learning, and AI techniques to support cyber defense and operational decision-making. * Support development and integration of Generative AI, Large Language Models (LLMs), and advanced analytics capabilities where applicable. * Collaborate with cybersecurity, engineering, and risk management teams to automate data collection, reporting, and visualization processes. * Communicate technical findings and recommendations to both technical and non-technical stakeholders. Required * Active TS/SCI clearance with CI Polygraph. * Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related STEM field. * 5+ years of experience in Data Science, Artificial Intelligence, Machine Learning, Advanced Analytics, or related disciplines. * Strong proficiency in Python and experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or SageMaker. * Experience developing, training, and deploying machine learning models in operational environments. * Strong understanding of statistics, predictive modeling, data mining, and data analysis techniques. * Experience working with SQL databases, data architectures, and large-scale datasets. * Experience with data visualization tools such as Tableau, Power BI, or similar platforms. * Experience transforming and processing data using Python, JSON, and related technologies. * Excellent written and verbal communication skills. * Ability to work independently and collaboratively within a mission-focused team environment. Desired * Experience supporting Intelligence Community (IC) or DoD customers. * Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or Natural Language Processing (NLP). * Experience with AWS cloud services, including SageMaker, EMR, and related AI/ML services. * Experience with Splunk, ServiceNow, or cybersecurity-focused data platforms. * Familiarity with RMF, FISMA, vulnerability management, and cybersecurity compliance frameworks. * Experience with Apache Hadoop, Spark, or distributed data processing environments. * Experience briefing senior government stakeholders and executive leadership. * Advanced degree in Data Science, Artificial Intelligence, Computer Science, Statistics, or related field. Preferred Technical Skills * Python * SQL * Machine Learning * Artificial Intelligence * Deep Learning * Generative AI * LLMs * NLP * Tableau * AWS SageMaker * Hadoop * Spark * Splunk * Data Visualization * Predictive Analytics * Statistical Modeling * Data Engineering
Skills
SQL
AWS
Machine Learning
NLP
Scikit-learn
Splunk
Tableau
Apache
Deep Learning
Generative AI
Hadoop
Power BI
PyTorch
Python
TensorFlow
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