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Noblis

Nonprofit federal contractor delivering systems engineering

Data Scientist

Data ScienceConfirmed live in the last 24 hours
Full-timeWashington, DC, USA$71.8k - $240.3k /yr

About the Job

Requirements

  • U.S. citizenship or permanent resident status with at least three years of U.S. residency is required.
  • Ability to obtain and maintain FAA suitability or Public Trust is required.
  • Experience with the FAA and its operating environment is required.
  • Level I requires a bachelor's degree in engineering, science, or a related field and at least four years of relevant experience, or equivalent aviation-related experience with at least six years.
  • Level II requires a bachelor's degree in engineering, science, or a related field and at least eight years of relevant experience, or equivalent aviation-related experience with at least 12 years.
  • Level III requires a master's degree in engineering, science, or a related field and at least 10 years of experience, or a bachelor's degree with at least 12 years of experience.
  • Level IV requires a master's degree in engineering, science, or a related field and at least 13 years of experience, or a bachelor's degree with at least 17 years of experience.
  • Level V requires a doctorate in psychology, industrial/organizational psychology, engineering, science, or a related technical or analytical field and at least 10 years of experience, or a master's degree with at least 12 years, or a bachelor's degree with at least 17 years of experience.

Responsibilities

  • 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 to identify trends, patterns, and relationships relevant to aviation safety, engineering performance, human factors, or organizational outcomes.
  • Use scientific, engineering, and analytical tools, including Python, R, SQL, MATLAB, data-visualization platforms, and test facilities, to design, test, and validate analytical models and simulations.
  • Collaborate with 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 to enable evidence-based decision-making.
  • Contribute to technical planning, data-infrastructure design, and process optimization aligned with program goals and federal data standards.
  • Mentor junior staff and provide expertise in data-science methodologies to enhance team capabilities.

Desired Qualifications

  • 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, including Python, R, SQL, TensorFlow, PyTorch, scikit-learn, Tableau, and 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: Experience leading small technical teams, performing process improvement, and applying engineering or 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.
  • Level IV: 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.
  • Level V: Demonstrated leadership in multidisciplinary teams, system-of-systems problem solving, and organizational planning.
  • Level V: Experience applying human factors, industrial/organizational psychology, or advanced analytics to improve performance, safety, and process outcomes.

About the Company

Noblis

Nonprofit federal contractor delivering systems engineering

Noblis is a nonprofit science, technology, and strategy organization that provides technical services and research to U.S. federal government agencies. It wins federal contracts and grants to deliver services such as systems engineering, program management, data analytics, cybersecurity, AI, and digital transformation across defense, homeland security, intelligence, and civil agencies. It differentiates itself by applying applied sciences and model-based engineering across multi-cloud environments and by partnering with small businesses to fulfill contracts, with research leading to patented technologies like DNA data storage and secure authentication. Its goal is to advance public-interest technology solutions through rigorous research and mission-focused programs that improve national security, public safety, and government operations.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Falls Church, VA
Founded
1996

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