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.