Data Scientist

Job Title: Data Scientist

Job Category: Science

Time Type: Full time

Minimum Clearance Required to Start: TS/SCI

Employee Type: Regular

Percentage of

Travel Required:

Up to 10%

Type of Travel: Local

CACI is seeking a motivated Data Scientist (AI/ML Engineer) to develop and deploy complex Artificial Intelligence systems in support of defending the Department of Defense Air Force Information Network (AFIN). This role requires the application of advanced anomaly detection algorithms for identifying and isolating malicious threats. Methodologies will include, but are not limited to, supervised and unsupervised learning, Graph Neural Networks, and Deep Learning models.

The Data Scientist will collaborate with a core group of senior software engineers and analytic developers to curate various technical products such as Big Data analytics, data dashboard visualizations, and cross-domain data traversal solutions. These products will equip our customers with the tools and knowledge necessary to better understand, plan, manage, and safeguard the AFIN.

The candidate must be able to work within a fast-paced and cutting-edge team. You will drive our cyber threat intelligence and detection mission by providing expert leadership and mentorship in the application of advanced AI/ML solutions. Additional responsibilities will include assisting in cultivating analyst/end-user experience, data visualization, designing documentation, coding, code reviews, and analytic testing. You will also provide technical direction and research capabilities to the team responsible for the design, implementation, testing, deployment, and operation of the 35th IS’s cyber threat intelligence detection methods and the systems enabling their execution.

• Architect, build, and deploy high-performance ML models into production, ensuring scalability, reliability, and low latency.
• Lead key phases of the ML lifecycle, from data preparation and model development to evaluation and monitoring, while working within mission-aligned constraints and collaborating across teams to evolve the pipeline responsibly.
• Develop and implement state-of-the‑art algorithms, specifically utilizing neural networks, including graph neural networks.
• Work closely with Product Managers, Software Engineers, and Government Stakeholders to align technical solutions with platform goals.
• Improve model performance through feature engineering, hyperparameter tuning, and advanced experimentation.
• Mentor junior software developers and provide technical guidance/expertise.
• Ensure appropriate documentation is developed in conjunction with all delivered analytics.
• Troubleshoot issues with existing analytics and processes, and research/implement solutions.
• Use your experience to guide analytic approaches or solutions to problems and situations for which information is incomplete or for which no precedent exists.

• Active TS/SCI security clearance.
• Master’s degree in data science, AI, or a related quantitative field.
• DOD Directive 8570 IAT I or II certification (Security+ or equivalent).
• 5+ years of industry experience in Machine Learning, with a focus on deploying models into production.
• Deep knowledge of ML frameworks such as PyTorch or Tensor Flow.
• Strong command of Python. Experience with machine learning libraries such as Spark MLlib, Scikit‑learn, XGBoost, Keras, Hugging Face, PyTorch Geometric, MLflow.
• Extensive experience incorporating data from multiple sources, labeling data to make it more discoverable for training purposes and identifying hidden patterns.
• Experience with data visualization libraries and tools such as Matplotlib, Grafana, or Kibana.
• Ability to communicate complex problems and corresponding solutions with non‑technical leadership and customers.
• This position may require up to 10% travel within the Continental United States (CONUS).

• 2+ years developing efficient analytic solutions at scale (operating over multiple PB of data).
• Experience with search technologies such as Elasticsearch (ELK stack) and Lucene.
• Experience with Confluence/Jira page and ticket development and organization.
• Experience with Docker/Kubernetes and building…