National Security Data Analyst - AI/ML & Statistics

Commonwealth of VA Careers; Arlington (VA); Presencial; USD 90 000 - 110 000; Tempo integral

Resumo da oferta

Virginia Tech National Security Institute (VTNSI) in the Washington, D.C. metro area seeks motivated Research Data Analyst to join the Intelligent Systems Division.

The role involves supporting rapid growth in data science, AI/ML, and T&E research, with collaboration across disciplines using Python, R, Matlab, JMP, and Jupyter Notebooks. Responsibilities include data analysis, literature reviews, designing experiments, training AI/ML models, and presenting results to sponsors and academic

Qualificações

• Master's or Bachelor's degree in computer science, computational modeling and data analytics, data science, applied mathematics, or related discipline or related programs.
• Demonstrated ability to work as a member of a team in executing research projects.

Responsabilidades

• Performing exploratory data analysis, reporting summary statistics, and visualizing data.
• Performing literature reviews for relevant research areas.
• Designing numerical experiments.
• Training and testing AI/ML models.
• Compiling and summarizing AI/ML model testing results.
• Performing statistical analysis of data and test results.

Conhecimentos

Data analysis

Statistics

AI/ML concepts

Programming (Python)

Programming (R)

Programming (MATLAB)

JMP

Jupyter Notebooks

Team collaboration

Formação académica

Bachelor's or Master's in computer science, computational modeling and data analytics, data science, applied mathematics, or related discipline

Ferramentas

R

Python

MATLAB

JMP

Jupyter Notebooks

Descrição da oferta de emprego

Virginia Tech National Security Institute (VTNSI) in the Washington, D.C. metro area seeks motivated Research Data Analyst to join the Intelligent Systems Division.

The role involves supporting rapid growth in data science, AI/ML, and T&E research, with collaboration across disciplines using Python, R, Matlab, JMP, and Jupyter Notebooks. Responsibilities include data analysis, literature reviews, designing experiments, training AI/ML models, and presenting results to sponsors and academic