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Data Scientist; AI​/ML Security Clearance

Job in Chantilly, Fairfax County, Virginia, 22021, USA
Listing for: Waypoint Human Capital
Full Time position
Listed on 2026-06-25
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist, Data Analyst
Job Description & How to Apply Below
Position: Data Scientist (AI/ML) with Security Clearance
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, Tensor Flow, PyTorch, or Sage Maker.

* 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 Sage Maker, EMR, and related AI/ML services.

* Experience with Splunk, Service Now, 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 Sage Maker

* Hadoop

* Spark

* Splunk

* Data Visualization

* Predictive Analytics

* Statistical Modeling

* Data Engineering
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