Develop, implement, and maintain machine learning and statistical models to support mission and program objectives
Analyze large structured and unstructured datasets to identify trends, anomalies, and actionable insights
Apply predictive analytics, classification, and regression techniques to real-world operational problems
Build and optimize data pipelines, ETL processes, and feature engineering workflows
Develop data visualization dashboards and reporting tools to communicate findings to technical and non-technical stakeholders
Work with cloud or on-premise environments to deploy scalable data solutions
Support test, evaluation, and analysis efforts for aviation, weapons systems, or mission systems programs
Provide data-driven recommendations to engineering teams, program managers, and government stakeholders
Interface with cross-functional teams including systems engineers, software developers, and analysts
Collaborate across IPTs to translate mission requirements into analytical solutions
Document methodologies, models, and results in accordance with DoD and program standards
Present findings to stakeholders in a clear and concise manner

Experience supporting DoD, aerospace, or government programs strongly preferred
Advanced proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch)
Strong experience with SQL and relational databases
Experience with data visualization tools (Power BI, Tableau, Matplotlib, Seaborn)
Solid understanding of machine learning techniques (classification, regression, clustering, NLP, etc.)
Experience building data pipelines and ETL processes
Familiarity with cloud platforms (AWS, Azure, or similar) or on-prem DoD environments
Understanding of data architecture and large-scale data processing
Strong statistical analysis and modeling experience
Ability to translate complex data into actionable insights
Demonstrated problem-solving skills in ambiguous or evolving environments
Ability to work effectively within cross-functional teams and IPT structures
Strong verbal and written communication skills
Experience briefing technical and non-technical stakeholders
Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related technical field, or equivalent practical experience required.
Active Secret Clearance required.

Data Scientist

Key skills