What are the responsibilities and job description for the Data Scientist (AI/ML) position at Waypoint Human Capital?
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
Required
Desired
Preferred Technical Skills
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