Senior Aviation Data Scientist & Operations Research

Advanced Management Technology, Inc.; Washington; On-site; USD 120,000 - 130,000; Full time

Job summary

Tetra Tech AMT is seeking a Senior Operations Research Analyst/Data Scientist to support a highly visible FAA project, standing up executable processes and analytics for pre-departure planning.

You will collect data, build models, and translate complex results for FAA leadership, with flexibility to cover nights and weekends as needed to support data-modeling requirements for NAS optimization.

Qualifications

• Must have 10+ years of professional experience as an Operations Research Analyst, preferably with FAA/NASA or federal government
• Bachelor of Science in engineering (e.g. Engineering, Operations Research, Statistics, Computer Science, Mathematics) or related field
• Experience translating technical data into actionable recommendations for non-technical stakeholders

Responsibilities

• Establish deconfliction processes with aviation stakeholders for NAS planning
• Collect historical data and interview stakeholders to identify bottlenecks
• Build quantitative models to simulate scenarios and optimize NAS operations
• Document processes, roles, and responsibilities for execution of the deconfliction plan
• Support FAA staff training on new traffic flow management processes
• Collaborate with FAA stakeholders and external partners to obtain necessary data
• Enter data into analytical models for long-range and same-day planning
• Provide expertise in design, development, and analysis of FAA products and systems

Skills

Data modeling

Programming

Data collection

Operations research

Air traffic management knowledge

Education

Bachelor of Science in Engineering or related field

Tools

Analytical software

Job description

Tetra Tech AMT is seeking a Senior Operations Research Analyst/Data Scientist to support a highly visible FAA project, standing up executable processes and analytics for pre-departure planning.

You will collect data, build models, and translate complex results for FAA leadership, with flexibility to cover nights and weekends as needed to support data-modeling requirements for NAS optimization.