Data Analyst - Active Secret Clearance Required

Summary

Modern Technology Solutions, Inc. (MTSI) is seeking a Data Analyst to support the USAF Test Pilot School at Edwards Air Force Base. The role provides mid-level data analysis and data-engineering support for flight-test campaigns and applied research, including test infrastructure development, post-event analysis, AI-agent performance evaluation, and dissemination of flight-test results.

Responsibilities

• Establish a “data-driven test” infrastructure and process for Doolittle Labs, aligned with the AFTC Multi-Domain Test Force (MDTF) and AFTC Data Working Group and VAULTIS-compliant for integration into the DAF Data Mesh Environment (DME)
• Support all flight-test activities executed by Doolittle Labs, including modeling and simulation (M&S), test-data planning, and data acquisition requirements definition
• Support flight-test data analysis post-event, including data received from OEM partners (e.g., Lockheed Martin, RTX, Calspan, Boeing, Northrop Grumman, among others) and translation of OEM outputs into Doolittle Labs analysis products
• Apply data-analysis tools to quantify AI-agent performance early—in simulation, HITL/SITL, and pre-flight environments; before flight test on the X-62A VISTA
• Provide and disseminate flight-test results to Doolittle Labs leadership, sponsors, PAE/PM reach-back customers, and, where and when authorized and cleared, the broader T&E community
• Ensure that task related products are consistent in format and content with overall project deliverables - Routinely engage with Govt technical representative + tech leads for our teammates and subcontractors
• Acts as a resource/mentor for colleagues with less experience
• Works independently, with guidance in only the most complex situations

Skills

• Working knowledge of applied statistical analysis, exploratory data analysis, and common machine-learning techniques as applied to engineering data
• Working knowledge of flight-test practices (test cards, telemetry, post-flight data reconstruction) is preferred, or a demonstrated ability to acquire that knowledge quickly
• Awareness of the DAF Data Strategy (VAULTIS, DME) and DCWF data-workforce framework; awareness of AFTC data-infrastructure activities led by the MDTF and AFTC Data Working Group
• Awareness of AI/autonomy T&E concepts sufficient to support Data Scientist and Director-level tasking, including basic V&V considerations for nondeterministic systems
• Proficiency with Python (e.g., pandas, NumPy, matplotlib) and SQL for data extraction, transformation, and analysis
• Working proficiency with a data-visualization platform (Tableau, Power BI, or plotly) sufficient to produce reviewable analysis products
• Working proficiency with MATLAB and/or Excel for engineering-data analysis; ability to work with structured telemetry files (CSV, HDF5, etc)
• Experience with data cleaning, quality checks, ETL construction, and basic pipeline maintenance
• Skill in version control (e.g, Git) and reproducible-analysis practices (Jupyter, notebook standards
• Collaboration/Teamwork: Engages others across roles through communication and mutual respect, shares insights, enabling effective teamwork to ensure collective success. (teamwork)
• Technical and Functional Skills: Leverages technical and functional expertise to deliver high performance, addresses challenges, and supports business needs while pursuing continuous skill development. (domain knowledge)
• Entrepreneurialism: Fosters innovation, evaluates ideas, and advances initiatives with sound judgment and organizational awareness to drive growth and impact. (innovation)
• Communication: Communicates clearly and effectively, fostering understanding, collaboration, and alignment through active listening and impactful messaging. (effective communication)
• Customer Focus: Prioritizes customer needs, builds trust, and delivers exceptional service by using insights to drive improvements and strengthen relationships. (customer insight)
• Minimum of 1-3 years of professional data-analysis, data-engineering experience, or comparable applied experience
• B.S. in Computer Science, Statistics, Data Science, Aerospace or Systems Engineering, Applied Mathematics, or a related STEM discipline
• This position will require up to 40% travel to Edwards AFB, CA
• Active Secret clearance is required
• Ability to qualify for and maintain a TS/SCI clearance
• U.S. Citizenship is required
• Prior experience at AFTC, USAF Test Pilot School (TPS), TRMC, AFRL, DARPA, or an OEM flight-test organization
• Experience with X-62A VISTA, F-16 VENOM, Group 1-3 UAS, or similar AI-in-the-loop flight-test programs
• Familiarity with VAULTIS-compliant data products or DAF Data Mesh Environment integration
• Publication record in flight-test T&E, AI evaluation, or related peer-reviewed venues
• Familiarity with VAULTIS / DAF Data Mesh Environment data-product concepts
• Within driving distance of a SCIF preferred

Qualifications

Must Haves

• Working knowledge of applied statistical analysis, exploratory data analysis, and common machine-learning techniques as applied to engineering data
• Working knowledge of flight-test practices (test cards, telemetry, post-flight data reconstruction) is preferred, or a demonstrated ability to acquire that knowledge quickly
• Awareness of the DAF Data Strategy (VAULTIS, DME) and DCWF data-workforce framework; awareness of AFTC data-infrastructure activities led by the MDTF and AFTC Data Working Group
• Awareness of AI/autonomy T&E concepts sufficient to support Data Scientist and Director-level tasking, including basic V&V considerations for nondeterministic systems
• Proficiency with Python (e.g., pandas, NumPy, matplotlib) and SQL for data extraction, transformation, and analysis
• Working proficiency with a data-visualization platform (Tableau, Power BI, or plotly) sufficient to produce reviewable analysis products
• Working proficiency with MATLAB and/or Excel for engineering-data analysis; ability to work with structured telemetry files (CSV, HDF5, etc)
• Experience with data cleaning, quality checks, ETL construction, and basic pipeline maintenance
• Skill in version control (e.g, Git) and reproducible-analysis practices (Jupyter, notebook standards
• Collaboration/Teamwork: Engages others across roles through communication and mutual respect, shares insights, enabling effective teamwork to ensure collective success. (teamwork)
• Technical and Functional Skills: Leverages technical and functional expertise to deliver high performance, addresses challenges, and supports business needs while pursuing continuous skill development. (domain knowledge)
• Entrepreneurialism: Fosters innovation, evaluates ideas, and advances initiatives with sound judgment and organizational awareness to drive growth and impact. (innovation)
• Communication: Communicates clearly and effectively, fostering understanding, collaboration, and alignment through active listening and impactful messaging. (effective communication)
• Customer Focus: Prioritizes customer needs, builds trust, and delivers exceptional service by using insights to drive improvements and strengthen relationships. (customer insight)
• Minimum of 1-3 years of professional data-analysis, data-engineering experience, or comparable applied experience
• B.S. in Computer Science, Statistics, Data Science, Aerospace or Systems Engineering, Applied Mathematics, or a related STEM discipline
• This position will require up to 40% travel to Edwards AFB, CA
• Active Secret clearance is required
• Ability to qualify for and maintain a TS/SCI clearance
• U.S. Citizenship is required

Nice to Haves

• Prior experience at AFTC, USAF Test Pilot School (TPS), TRMC, AFRL, DARPA, or an OEM flight-test organization
• Experience with X-62A VISTA, F-16 VENOM, Group 1-3 UAS, or similar AI-in-the-loop flight-test programs
• Familiarity with VAULTIS-compliant data products or DAF Data Mesh Environment integration
• Publication record in flight-test T&E, AI evaluation, or related peer-reviewed venues
• Familiarity with VAULTIS / DAF Data Mesh Environment data-product concepts
• Within driving distance of a SCIF preferred

Benefits

• This position can be hybrid.