Data Analyst - Active Secret Clearance Required

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.