Data Scientist - Sr. (Automation and Artificial Intelligence)

Bluehawk, LLC•Reston, VA

8h•Onsite

About The Position

The Senior Data Scientist for Automation and Artificial Intelligence develops and evaluates AI and machine-learning capabilities that improve collection prioritization, tasking, resource optimization, and operational decision-making. The position partners with software engineers and mission stakeholders to translate CI/HUMINT requirements into responsible, explainable, and operationally useful analytical solutions.

Requirements

Senior-level experience in data science, machine learning, artificial intelligence, predictive analytics, or a related technical field.
Proficiency using Python, R, or comparable analytical languages and common data-science or machine-learning frameworks.
Experience developing, validating, and assessing predictive or machine-learning models using complex datasets.
Understanding of data preparation, feature engineering, model evaluation, automation, and production integration.
Ability to explain technical methods, assumptions, performance, and limitations to mission and executive audiences.
Strong analytical judgment, documentation skills, and ability to collaborate within multidisciplinary technical teams.

Nice To Haves

Experience with CI/HUMINT, collection management, intelligence requirements, or operational resource optimization.
Experience building AI/ML capabilities in secure DoD or Intelligence Community environments.
Knowledge of responsible AI, model governance, explainability, bias assessment, and secure AI development.

Responsibilities

Apply AI technologies to identify and prioritize Essential Elements of Information aligned with national and defense priorities.
Develop predictive models supporting collection management, resource optimization, and mission planning.
Implement machine-learning methods for pattern recognition, anomaly detection, forecasting, and decision support.
Support automation of tasking processes based on the optimal alignment of collectors, sources, and mission requirements.
Establish feedback mechanisms that refine tasking and operational strategies using real-time data and iterative learning.
Collaborate with software engineers on AI/ML prototype development, integration, deployment, and sustainment.
Prepare, cleanse, transform, and analyze structured and unstructured data from multiple sources.
Conduct model validation, performance assessment, error analysis, documentation, and continuous monitoring.
Brief technical and mission stakeholders on model performance, limitations, risks, and operational implications.
Apply responsible AI practices consistent with DoD AI Ethical Principles and applicable security and data-governance requirements.