MTSI is seeking a Data Analyst to support the USAF Test Pilot School at Edwards AFB, CA. This position can be hybrid. It will require the ability and willingness to travel to Edwards AFB, CA up to 40%. The Data Analyst provides mid-level data analysis and data-engineering support for Doolittle Labs' flight-test campaigns and applied research. The Analyst executes day-to-day analysis under the technical direction of the Data Scientist and the Director of Data and Analytics, contributes to the lab's data-driven test infrastructure buildout, and interfaces with OEM partners and external sponsors on post-event data. Responsibilities and duties may include, but are not limited to:

• 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 Required 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 All MTSI employees are required to be skilled in the following core competencies:

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)

Required Experience:

• Minimum of 1-3 years of professional data-analysis, data-engineering experience, or comparable applied experience.

Desired Experience:

• 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

Education Requirements:

• B.

S. in Computer Science, Statistics, Data Science, Aerospace or Systems Engineering, Applied Mathematics, or a related STEM discipline.

Travel:

• This position will require up to 40% travel to Edwards AFB, CA.

Clearance Requirements:

• Active Secret clearance is required
• Ability to qualify for and maintain a TS/SCI clearance U.

S. Citizenship is required The expected pay range for this position in California is $XXX,000/year to $XXX,000/year; however, base pay offered may vary depending on established government contract ranges, job-related knowledge, skills, and experience, and other factors. MTSI also offers a full range of medical, financial, and other benefits, dependent on the position offered. Base pay information is based on market location. Applicants should apply via MTSI's internal or external careers site. #LI-RR1 #MTSIjobs #mtsi #LI-Onsite