Data Scientist (AI/ML)

Waypoint Human Capital • $100K — $130K *
Chantilly, VA 20152In-Person
Aerospace & Defense
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 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, AI, ML, or Advanced Analytics.
  • Proficient in Python and machine learning frameworks like Scikit-learn, TensorFlow, or PyTorch.
  • Experience in developing and deploying machine learning models in operational settings.
  • Strong understanding of statistics and predictive modeling techniques.
  • Familiarity with SQL databases and large-scale datasets.

Responsibilities

  • Develop and deploy AI and ML solutions for cybersecurity.
  • Analyze large datasets from various cybersecurity tools.
  • Design predictive models to identify trends and risks.
  • Create automated workflows for data collection and processing.
  • Develop interactive dashboards and visual reports using Tableau.
  • Apply AI techniques to enhance operational decision-making.
  • Collaborate with teams to automate data collection and visualization processes.

Benefits

  • Fully on-site position fostering close team collaboration.
  • Opportunity to work on national security initiatives.
  • Engagement with large-scale datasets for impactful AI/ML applications.
  • Possibility of working alongside experienced professionals in cybersecurity.
  • Direct contribution to enhancing cybersecurity operations and risk management.
Full Job 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

About Waypoint Human Capital

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