Job description

BAI, a defense contractor, is seeking a Senior Data Analysis Engineer with 10+ years of experience for processing, reducing, analyzing, and evaluating ground laboratory and open-air flight test data for our expanding workforce supporting current and evolving contract, at Naval Base Ventura County (NBVC) Naval Air Station (NAS) Point Mugu, CA. Opportunities for career advancement, excellent benefits and long-term stability are some of the advantages of our growing, employee-focused company. Salary The typical annual salary range for this position is $145,000.00 USD to $160,000.00 USD. Salary will be based on current qualifications, directly related experience, geographic location, and possible contractual requirements which could fall outside of this range. • Position Objective & Summary • Functional and Engineering SME in countermeasures, electronic warfare, software architecture and sensors • Serve as a Senior Data Analysis Engineer responsible for processing, reducing, analyzing, and evaluating ground laboratory and open-air flight test data • Develops automated Python-based data extraction and analysis pipelines to evaluate complex avionics systems, electronic warfare (EW) suites, and sensor packages.Analysis directly supports formal verification of system performance requirements and Key Performance Parameters (KPPs), culminating in executive-level presentations and decision-quality technical reports for program managers, test directors, and acquisition authorities • Flight Test & Laboratory Data Reduction and Analysis (40%) • Ingests, time-synchronizes, and analyzes complex multi-source data collected from ground laboratories, hardware-in-the-loop (HWIL) facilities, installed system test facilities (ISTF), and live-fly open-air range missions • Evaluates Time-Space-Position Information (TSPI) derived from GPS, ground tracking radar, and optical assets, correlating truth data with onboard avionics recordings and telemetry streams • Decodes, processes, and analyzes high-throughput avionics digital data buses (e.g., MIL-STD-1553, ARINC 429, Ethernet, Fibre Channel, and IRIG 106 Chapter 10/11 formats) • Evaluates sensor performance, RF threat simulation logs, and emitter identification metrics in both simulated laboratory environments and dynamic flight conditions • Analysis Tool Development & Automation (30%) • Architects, scripts, tests, and maintains specialized, automated data analysis tools and data reduction pipelines using Python (NumPy, Pandas, SciPy, Matplotlib, and associated libraries) • Builds automated routines for batch-processing raw flight records, identifying data anomalies, performing statistical analysis, and generating standardized verification metrics • Implements robust software configuration management practices (e.g., Git) and creates reusable modules to accelerate post-flight analysis across multiple test events • Performance Verification, Reporting & Decision Support (20%) • Compares empirical test results against design specifications, system requirements, and interface control documents (ICDs) to identify deviations, anomalies, and performance trends • Formulates definitive, evidence-based recommendations regarding whether system under test satisfies technical specifications and operational readiness standards • Authors formal Test & Evaluation (T&E) reports, requirement verification matrices, deficiency reports (DRs), and technical memorandums • Stakeholder Briefings & Mission Coordination (10%) • Translates dense telemetry and statistical findings into clear, executive-level presentations, visual dashboards, and briefing slides • Presents analytical findings to Test Directors, Flight Test Engineers (FTEs), Chief Test Pilots, and Program Executive Offices (PEOs) to support Go/No-Go and milestone acquisition decisions • Participates in pre-flight test readiness reviews (TRRs) and post-flight debriefs to establish data collection criteria and optimize test point execution • Over 10 years of experience performing the duties described in the functional description • Excellent technical communication and presentation skills, verbal and written, for briefing Test Directors, Flight Test Engineers, and Program Executive Offices • Ability to work independently, identifying root causes of system anomalies under dynamic operational conditions Specialized Technical Experience • Mandatory Requirements: • Demonstrated professional experience analyzing flight test, range, or laboratory experimental data • Proficiency in developing custom data processing and analysis scripts in Python • Direct experience working with and correlating TSPI (Time-Space-Position Information) truth data against system data • Demonstrated capability to decode, parse, and analyze digital avionics bus architectures and telemetry logs • Experience evaluating system response to threat simulation environments and simulated emitter scenarios • Highly Desirable Experience: • Direct domain experience conducting performance analysis on Radar Warning Receivers (RWR), Electronic Support Measures (ESM), or Electronic Warfare (EW) suites • Direct experience performing performance analysis on RADAR systems (AESA, Pulse Doppler, synthetic aperture radar) • Familiarity with IRIG 106 Chapter 10/11 data standards and high-density RF threat generation platforms Knowledge, Skills, And Abilities • Avionics & Sensor Systems: Comprehensive knowledge of avionics architectures, radar theory, RF propagation, and signal processing principles to accurately assess sensor detection, tracking, and identification performance • Data Science & Programming: Advanced skills in Python scripting and data analysis packages for rapid parsing, transformation, and statistical modeling of large, multi-rate time-series datasets • Range & Test Operations: Knowledge of test range instrumentation, TSPI tracking methods, telemetry acquisition, and ground lab simulation environments • Analytical Reasoning & Problem Solving: Ability to identify root causes of system anomalies, evaluate signal-to-noise degradations, and isolate hardware/software failure modes under dynamic operational conditions • Technical Communication & Presentation: Ability to synthesize complex statistical data into concise, high-impact graphical presentations and brief multi-disciplinary leadership teams to guide high-stakes acquisition decisions Desired Experience • Direct domain experience conducting performance analysis on Radar Warning Receivers (RWR), Electronic Support Measures (ESM), or Electronic Warfare (EW) suites • Direct experience performing performance analysis on RADAR systems (AESA, Pulse Doppler, synthetic aperture radar) • Familiarity with IRIG 106 Chapter 10/11 data standards and high-density RF threat generation platforms EDUCATION Degree: MS or MA degree in Engineering or a relevant technical discipline such as Aerospace Engineering, Electrical Engineering, Computer Science, Physics, Mathematics, or a related STEM discipline. Allowable Substitution: An additional 4 years of relevant work experience, with a bachelor's degree, may be substituted for a master's degree. CLEARANCE Condition of Employment: Applicant must have an active DoD Secret (SSBI-based investigation) Clearance. The applicants selected will be subject to a security investigation and must meet eligibility requirements for access to classified information. CITIZENSHIP The applicant must have US citizenship at the time of application. BAI is an Equal Opportunity Employer. All qualified applicants receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, or any other non-merit based factors made unlawful by federal, state or local laws.

Requirements

Must-haves

Demonstrated professional experience analyzing flight test, range, or laboratory experimental data
Proficiency in developing custom data processing and analysis scripts in Python
Direct experience working with and correlating TSPI (Time-Space-Position Information) truth data against system data
Demonstrated capability to decode, parse, and analyze digital avionics bus architectures and telemetry logs
Experience evaluating system response to threat simulation environments and simulated emitter scenarios
Direct domain experience conducting performance analysis on Radar Warning Receivers (RWR), Electronic Support Measures (ESM), or Electronic Warfare (EW) suites
Direct experience performing performance analysis on RADAR systems (AESA, Pulse Doppler, synthetic aperture radar)
Familiarity with IRIG 106 Chapter 10/11 data standards and high-density RF threat generation platforms
Knowledge, Skills, And Abilities
Avionics & Sensor Systems: Comprehensive knowledge of avionics architectures, radar theory, RF propagation, and signal processing principles to accurately assess sensor detection, tracking, and identification performance
Data Science & Programming: Advanced skills in Python scripting and data analysis packages for rapid parsing, transformation, and statistical modeling of large, multi-rate time-series datasets
Range & Test Operations: Knowledge of test range instrumentation, TSPI tracking methods, telemetry acquisition, and ground lab simulation environments
Analytical Reasoning & Problem Solving: Ability to identify root causes of system anomalies, evaluate signal-to-noise degradations, and isolate hardware/software failure modes under dynamic operational conditions
Degree: MS or MA degree in Engineering or a relevant technical discipline such as Aerospace Engineering, Electrical Engineering, Computer Science, Physics, Mathematics, or a related STEM discipline.
Allowable Substitution: An additional 4 years of relevant work experience, with a bachelor's degree, may be substituted for a master's degree.
The applicant must have US citizenship at the time of application.

Nice-to-haves

Direct domain experience conducting performance analysis on Radar Warning Receivers (RWR), Electronic Support Measures (ESM), or Electronic Warfare (EW) suites
Direct experience performing performance analysis on RADAR systems (AESA, Pulse Doppler, synthetic aperture radar)
Familiarity with IRIG 106 Chapter 10/11 data standards and high-density RF threat generation platforms

Application prep

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Keywords to mirror

pythongo

Platform: icims
Effort: medium