Leidos National Security Sector is seeking a Data Science Intern to support the Joint Staff J6 Joint Assessment Division (JAD) in advancing Combined Joint All Domain Command and Control (CJADC2) data-centricity initiatives and contributing to system-of-systems interoperability assessments. The goal is to provide actionable insights to enhance Joint Force capabilities.
Requirements
- Familiarity with at least one data scripting language (Python or R).
- Basic understanding of data science libraries (e.g., pandas, NumPy, scikit-learn, matplotlib).
- Familiarity with relational databases (e.g., MySQL, PostgreSQL).
- Experience with data visualization tools (e.g., Power BI, Tableau, matplotlib).
- Coursework or projects involving machine learning, statistical modeling, or data mining.
- Familiarity with virtual computing environments (Azure preferred) and modern tech stacks.
Responsibilities
- Assist in developing and implementing data processing pipelines to ingest, clean, and transform data from diverse sources, including sensors, Command and Control (C2) systems, weapon systems, GPS trackers, and observer logs.
- Support the extraction of key events and parameters from raw data to reconstruct operational sequences describing system performance during critical scenarios (e.g., threat detection, engagement, and mitigation).
- Contribute to the development and implementation of algorithms for event recognition, anomaly detection, and data correction.
- Assist in creating methods for correlating information across disparate systems with different data representations.
- Support data quality and governance processes to ensure data integrity and reliability.
- Collaborate with data engineers to learn about building scalable and robust data infrastructures on cloud platforms.
- Contribute to research and development efforts to explore new data science techniques and technologies relevant to CJADC2.
Other
- Must be a U.S. Citizen.
- Ability to obtain and maintain a Secret Clearance.
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- Professional writing and oral presentation skills, MS Office proficiency.
- Strong analytical and problem-solving skills.
