Collect, clean, and integrate data from multiple sources to support analytical, technical, and operational objectives.
Perform exploratory data analysis (EDA) to identify trends, patterns, and relationships in data relevant to aviation safety, engineering performance, human factors, or organizational outcomes.
Utilize scientific, engineering, and analytical tools (e.g., Python, R, SQL, MATLAB, data visualization platforms) to design, test, and validate analytical models and simulations.
Collaborate with cross-functional teams—including software engineers, data analysts, behavioral scientists, and domain experts—to integrate data science solutions into operational systems and decision-support workflows.
Develop and review technical documentation, reports, and data-driven recommendations to support program planning, compliance, and strategic decisions.
Communicate analytical findings and technical insights to stakeholders in a clear, actionable manner, enabling evidence-based decision-making.
Contribute to technical planning, data infrastructure design, and process optimization, ensuring alignment with program goals and federal data standards.
Mentor junior staff and provide expertise in data science methodologies, enhancing team capabilities and promoting a culture of analytical excellence.
Required Qualifications
Qualifications for all Levels
U.S. citizen or green card permanent resident (3+ years U.S. residency)
Ability to obtain and maintain FAA Sutiability/Public Trust.
Experience with FAA and the environment.
Level I
Required Qualifications
Bachelor’s degree in engineering, science, or related field and 4+ years of relevant experience; or equivalent aviation-related experience with 6+ years.
D.C. Salary Range: $71,800.00 - $112,150
Level II
Required Qualifications
Bachelor’s degree in engineering, science, or related field and 8+ years of relevant experience; or equivalent aviation-related experience with 12+ years.
D.C. Salary Range: $78,900 - $123,300
Level III
Required Qualifications
Master’s degree in engineering, science, or related field and 10+ years of experience; or Bachelor’s degree with 12+ years of experience.
D.C. Salary Range: $105,100 - $164,125
Level IV
Required Qualifications
Master’s degree in engineering, science, or related field and 13+ years of experience; or Bachelor’s degree with 17+ years of experience.
D.C. Salary Range: $127,100 - $198,575
Level V
Required Qualifications
Doctorate degree in psychology, industrial/organizational psychology, engineering, science, or related technical/analytical field and 10+ years of experience; or Master’s degree with 12+ years, or Bachelor’s degree with 17+ years of experience.
D.C. Salary Range: $153,800 - $240,350
Desired Qualifications
Desired Expertise
Demonstrated experience in data science, machine learning, statistics, or quantitative analysis, preferably in aviation, engineering, or related technical domains.
Proficiency with data science tools and programming languages (e.g., Python, R, SQL, TensorFlow, PyTorch, scikit-learn, Tableau, Power BI).
Strong understanding of data pipelines, data governance, and analytical model deployment in operational environments.
Ability to translate complex technical and analytical concepts into actionable insights for diverse stakeholders.
Level I
Experience with technical problem-solving, system integration, or engineering team support in aviation-related programs.
Level II
Demonstrated experience leading small technical teams, performing process improvement, and applying engineering/scientific tools to complex problems.
Level III
Experience in advanced technical planning, integration of complex systems, and use of data analysis and test facilities for problem resolution.
Level IV
Proven record of technical leadership, mentorship of junior SMEs, and contributions to program or organizational strategy.
Experience with large-scale program integration, advanced modeling, simulation, or laboratory testing.
Level V
Expertise in psychological, organizational, technical, or analytical domains applied to aviation, engineering, or large-scale program environments.
Demonstrated leadership in multidisciplinary teams, system-of-systems problem solving, and organizational planning.
Experience applying human factors, industrial/organizational psychology, or advanced analytics to improve performance, safety, and process outcomes.
THIS POSITION IS CONTINGENT ON AWARD AND POSITION AVAILABILITY**
Overview
Overview
Noblis and our wholly owned subsidiaries, Noblis ESI and Noblis MSD, take on some of the nation’s toughest challenges, delivering advanced solutions to our customers’ most critical missions. We bring together leading scientific, engineering, and management expertise in a culture grounded in objectivity and collaboration, ensuring our work creates lasting impact across federal missions.
We work with a broad range of government agencies in the defense, intelligence, and federal civilian sectors. Learn more and find opportunities at careers.noblis.org
Why Work at Noblis
At Noblis, we share a passion for excellence and innovation, and we create an environment where people can do meaningful work while maintaining the balance that keeps them energized and fulfilled. We seek out individuals with a natural curiosity and desire to collaborate and learn. We believe our people are our greatest strength, and we consistently seek exceptionally skilled, mission‑driven professionals who care deeply about doing work that enriches lives and makes our nation safer.
Noblis has earned numerous workplace awards for our culture, our commitment to employee well‑being, and our dedication to meaningful, impactful work. We also maintain a drug‑free workplace.
Remote/hybrid status is subject to change based on Noblis and/or government requirements.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, age, national origin, religion, physical or mental disability, pregnancy/childbirth and related medical conditions, veteran or military status, or any other characteristics protected by applicable federal, state, or local law.
If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us.
EEO is the Law | E-Verify | Right to Work
Total Rewards
At Noblis we recognize and reward your contributions, provide you with growth opportunities, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category. We encourage you to learn more about our total benefits by visiting the Benefits page on our Careers site.
Compensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws. The projected compensation range for this position is based on full time status. For part time or on-call staff, compensation is proportionately adjusted based on hours worked. While monetary compensation is important, it's just one component of Noblis’ total compensation package.
Posted Salary Range
USD $71,800.00 - USD $240,350.00 /Yr.
We are seeking highly qualified Subject Matter Experts (SMEs) across multiple levels (I–V) to support data science, aviation, engineering, psychological, analytical, and technical programs within the Federal Aviation Administration (FAA) or related federal initiatives. SMEs will apply advanced knowledge in their respective technical or analytical disciplines—particularly data science, machine learning, and data-driven analysis—to solve complex problems, integrate requirements, and contribute to system design, program execution, and organizational effectiveness.
SMEs will participate in multidisciplinary teams, utilizing advanced analytical tools, simulation environments, laboratories, data analysis platforms, and test facilities. They will provide guidance in technical planning, data strategy, process improvement, and performance evaluation, ensuring that data-driven insights inform program and mission outcomes.
Key Responsibilities (All Levels)
Apply advanced knowledge in data science, engineering, psychology, or related technical disciplines to solve complex technical or organizational problems within the FAA or similar environments.
Extract insights and value from large and complex datasets to inform decision-making, enhance system performance, and drive innovation across programs.
Develop and implement data-driven solutions and predictive models using advanced statistical, machine learning, and data analysis techniques.
Collect, clean, and integrate data from multiple sources to support analytical, technical, and operational objectives.
Perform exploratory data analysis (EDA) to identify trends, patterns, and relationships in data relevant to aviation safety, engineering performance, human factors, or organizational outcomes.
Utilize scientific, engineering, and analytical tools (e.g., Python, R, SQL, MATLAB, data visualization platforms) to design, test, and validate analytical models and simulations.
Collaborate with cross-functional teams—including software engineers, data analysts, behavioral scientists, and domain experts—to integrate data science solutions into operational systems and decision-support workflows.
Develop and review technical documentation, reports, and data-driven recommendations to support program planning, compliance, and strategic decisions.
Communicate analytical findings and technical insights to stakeholders in a clear, actionable manner, enabling evidence-based decision-making.
Contribute to technical planning, data infrastructure design, and process optimization, ensuring alignment with program goals and federal data standards.
Mentor junior staff and provide expertise in data science methodologies, enhancing team capabilities and promoting a culture of analytical excellence.
Qualifications for all Levels
U.S. citizen or green card permanent resident (3+ years U.S. residency)
Ability to obtain and maintain FAA Sutiability/Public Trust.
Experience with FAA and the environment.
Level I
Required Qualifications
Bachelor’s degree in engineering, science, or related field and 4+ years of relevant experience; or equivalent aviation-related experience with 6+ years.
D.C. Salary Range: $71,800.00 - $112,150
Level II
Required Qualifications
Bachelor’s degree in engineering, science, or related field and 8+ years of relevant experience; or equivalent aviation-related experience with 12+ years.
D.C. Salary Range: $78,900 - $123,300
Level III
Required Qualifications
Master’s degree in engineering, science, or related field and 10+ years of experience; or Bachelor’s degree with 12+ years of experience.
D.C. Salary Range: $105,100 - $164,125
Level IV
Required Qualifications
Master’s degree in engineering, science, or related field and 13+ years of experience; or Bachelor’s degree with 17+ years of experience.
D.C. Salary Range: $127,100 - $198,575
Level V
Required Qualifications
Doctorate degree in psychology, industrial/organizational psychology, engineering, science, or related technical/analytical field and 10+ years of experience; or Master’s degree with 12+ years, or Bachelor’s degree with 17+ years of experience.
D.C. Salary Range: $153,800 - $240,350
