Salary
≈ $106k – $230k per year (Estimated)
Location
Remote (United States)
Employment
Full-Time
First seen by Alion on Oct 18, 2026.
Overview
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Modern Technology Solutions, Inc. (MTSI) is a 100% employee-owned engineering services and technology solutions company that provides mission-focused capabilities primarily for national defense and security. Founded in 1993, MTSI delivers engineering, systems integration, test & evaluation, and program management across areas such as missile defense, cyber security, intelligence, unmanned/autonomous systems, aviation, hypersonics, and space systems, supporting government and defense customers from multiple offices and field sites worldwide.
Note: The job is a remote job and is open to candidates in USA. Modern Technology Solutions, Inc. (MTSI) is seeking a Data Scientist to support the USAF Test Pilot School at Edwards Air Force Base. The role serves as the lead Data Analyst for Doolittle Labs, providing technical leadership in AI/autonomy test and evaluation, flight-test data analysis, and development of data-driven test infrastructure.
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 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
- Deep knowledge of statistical methods, machine learning, and modern data-science techniques; such as regression, classification, clustering, deep learning, time-series analysis, and uncertainty quantification; as applied to research and development, engineering, and flight test data
- Knowledge of flight test methodologies, including test-plan development, test-point matrix construction, telemetry acquisition, post-flight reconstruction, and safety-of-flight considerations
- Familiarity with AI/autonomy T&E challenges, including verification and validation (V&V) of nondeterministic systems, human-agent trust calibration, demonstration of operational AI systems, and multi-agent scenarios
- Familiarity with the DAF Data Strategy (VAULTIS, DME, Domain Principals), the DoD Cyber Workforce Framework (DCWF) data work roles and KSATs, and applicable AFTC and AFMC data governance
- Knowledge of applicable federal and DoD policies governing controlled unclassified information (CUI), classified test data, intellectual property, and OEM data-rights posture (IAW DoW IP Guide)
- Proficiency with Python (e.g., pandas, NumPy, scikit-learn, PyTorch, TensorFlow) and at least one additional statistical/scientific computing environment (R, MATLAB, Julia)
- Experience with modern data engineering (SQL, cloud-native data warehouses, Parquet/Arrow, ETL pipelines) sufficient to design and build the Doolittle Labs data spine
- Experience with modeling-and-simulation environments used in flight test (MATLAB/Simulink, JSBSim, HITL/SITL benches) and their integration with data-analysis workflows
- Experience with visualization and results communication (Tableau, Power BI, matplotlib, plotly) sufficient to produce products for both engineering and leadership audiences
- Experience with version control, reproducible research, and MLOps practices (Git, Jupyter, MLflow or equivalent, model registries)
- Skill in translating ambiguous or evolving flight-test objectives into rigorous, quantifiable analysis plans and executable pipelines
- Minimum of 3-5 years of professional data-science experience, including demonstrable flight-test data analysis experience
- M.S. in Computer Science, Statistics, Data Science, Aerospace or Systems Engineering, Applied Mathematics, or a related STEM discipline (B.S. plus eight additional years of qualifying experience may substitute)
- This position will require up to 40% to Edwards AFB, CA
- Active Secret clearance is required
- Ability to qualify for and maintain TS/SCI clearance
- U.S. Citizenship is required
- Familiarity with recent X-62 flight test campaigns (e.g., HAVE HEAT, DARPA ACE, HAVE HOLIDAYS) is a plus
- 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
Company Overview
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