Data Scientist

Data Scientist – Airworthiness Test and Evaluation Leidos’ Defense Systems RF Systems Division is seeking a Data Scientist to join the Airworthiness Test and Evaluation group. The Data Scientist will function within the Program Management Office Aircraft Survivability Equipment (PMO ASE), aiding Product Offices through application of scientific theory, design experimentation, and engineering principles in the test and evaluation mission for Aircraft Survivability Equipment. Responsibilities include participating as a team member in cost estimating, test planning and execution, data acquisition, data analysis, and reporting for designated flight-test projects. The individual collaborates with other software and system test resources and equipment, contributes to test analysis, system integration (HW/SW), user feedback, and utilizes technical skills to identify and offer solutions to issues uncovered during testing, all aimed at supporting the fielding of ASE. Primary Responsibilities Compile, reduce, format, analyze, and present test data. Conduct Aircraft Survivability Equipment testing, qualitatively and quantitatively assessing sensors, jammers, software upgrades, and other aircraft survivability systems. Apply practical knowledge to flight testing principles and concepts applicable to developmental and system qualification testing of DoD aircraft. Provide traceability from requirement to technical specifications. Provide input for testing events, test plans, and procedures for hardware and software testing. Assist other engineers in designing and executing tests, analyzing data, and reporting and documenting results, including interpreting the significance of the findings. Work in a team‑oriented, collaborative environment. Write and maintain code/scripts used in post‑processing and analysis of system‑under‑test performance. Support development of test and evaluation input into Milestone documentation such as the Systems Engineering Plan (SEP), Program Protection Plan (PPP), Systems Specification, Performance Work Statement (PWS) and/or Statement of Work (SoW). Support test planning with the OEM and Government Test Agencies to include ATEC and its subordinates for developmental and operational test events, including Live Fire Test & Evaluation (LFTE). Participate in T&E WIPT sub‑working groups such as LFTE, Aircraft Survivability Equipment (ASE), test Modeling and Simulation (M&S), etc. Basic Qualifications Bachelor’s degree in a relevant field such as data science, computer science, engineering. Proficiency in MATLAB, with additional experience in Python, R, or MATLAB, is a primary requirement. Experience with data analysis tools and software (e.g., SQL, Excel, Tableau). Familiarity with statistical analysis and modeling techniques. Knowledge of aviation systems and test methodologies. Excellent communication skills and attention to detail. Must be a U.S. Citizen. Must possess and be able to maintain an active Secret clearance. Must be a resident of Huntsville, AL or willing to relocate to the Huntsville, AL area. Preferred Qualifications 0+ years of relevant experience in Missile Systems, Weapon Systems, Infrared Seeker Systems, and Radar Engineering & Analysis; Modeling & Simulation; Testing, and Software Development. Familiarity with Army regulations and protocols. Highly organized, demonstrating the ability to work independently in a fast‑paced and highly productive work environment. Experience working on aircraft survivability programs. Strong analytical and problem‑solving abilities. Ability to create and present briefs and technical documentation for senior leadership. All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #J-18808-Ljbffr