Data Scientist (AI/ML)

Waypoint Human Capital

Chantilly, Virginia
30+ days ago

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Skills

Amazon Web Services (AWS)unmatched
Analysis Skillsunmatched
Apache Hadoopunmatched
Apache Sparkunmatched
Artificial Intelligence (AI)unmatched
Artificial Intelligence (AI) Programming Languagesunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Community Supportunmatched
Computer Scienceunmatched
Computer Securityunmatched
Data Analysisunmatched
Data Collectionunmatched
Data Managementunmatched
Data Miningunmatched
Data Modelingunmatched
Data Processingunmatched
Data Scienceunmatched
Data Setsunmatched
Data Visualizationunmatched
Data Visualization Toolsunmatched
Database Architectureunmatched
Deep Learningunmatched
Electronic Medical Recordsunmatched
FISMA - Federal Information Security Management Actunmatched
Governmentunmatched
Integrated Circuits (ICs)unmatched
Intelligence Communityunmatched
Internet Securityunmatched
JSONunmatched
Leadershipunmatched
Machine Learningunmatched
Mathematicsunmatched
Modeling Languagesunmatched
Natural Language Processing (NLP)unmatched
Operations Managementunmatched
Power BIunmatched
Predictive Modelingunmatched
Presentation/Verbal Skillsunmatched
Python Programming/Scripting Languageunmatched
Reporting Dashboardsunmatched
Risk Managementunmatched
SQL (Structured Query Language)unmatched
SQL Databasesunmatched
Sensitive Compartmented Information (SCI)unmatched
ServiceNowunmatched
Splunkunmatched
Statistical Modelingunmatched
Statisticsunmatched
Tableauunmatched
Testingunmatched
Top Secret Clearanceunmatched
Training Data Setsunmatched
Trend Analysisunmatched
United States Department of Defense (DoD)unmatched
Writing Skillsunmatched

Description

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

Numbers & Facts

Location

Chantilly, Virginia

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