Noda AI Mission Analyst at NODA Recon Works provides quantitative analysis to support operations and decision-making. The role involves developing models and simulations to represent emerging technologies and mission scenarios.
Responsibilities
As Mission Analyst - Recon Works, you are providing the quantitative rigor in analyzing problems, opportunities, and solutions. You default to trying to understand things objectively and use analysis to back claims. Even ordinary claims require ordinary evidence. Recon Works will use your analysis to understand problems and identify how to start solving them.
Provide quantitative analysis to support all aspects of Recon Works operations: problem modeling, IRAD decisions, prototyping success metrics, etc.
Support buy/build/partner assessments of technology through detailed analysis
Conduct trade space analysis to help identify which technologies are the best fit for missions or CONOPS of interest
Conduct analysis and generate reports on specific technical values or performance parameters of an integrated product
Develop and execute models and simulations to represent emerging technologies, CONOPS, and mission scenarios
Support the mission engineering process in applying product to customer use cases
Qualification
Bachelor's degree in a STEM fieldDemonstrated experience with structuredExperience with design of experimentsFamiliarity with model verificationGraduate degree in a STEM fieldExisting TS/SCI clearanceSkills & AttributesImagination and creativityComfort with ambiguity
Required
Bachelor's degree in a STEM field
3+ years of quantitative analysis in a complex technical field
Strong modeling and simulation or optimization background
Demonstrated experience with structured, repeatable problem-solving
U.S. citizenship; ability to obtain and maintain a Secret clearance.
Experience with design of experiments, simulation methods, statistical analysis, and sensitivity analyses
Experience defining measures of effectiveness and performance (MOEs/MOPs) that connect technology parameters to mission outcomes
Familiarity with model verification, validation, and accreditation (VV&A) techniques
Proficiency in Python or a comparable language for model development and data analysis
Preferred
Graduate degree in a STEM field
Experience with common M&S tools such as MATLAB, AFSIM, STK, etc.
Portfolio and business case analysis skills
Existing TS/SCI clearance
Experience implementing MBSE using SysML
Skills & Attributes
Imagination and creativity: you treat analysis as a creative act: framing the right question and inventing the right model matters as much as running it
Comfort with ambiguity: where there are no clear measures of performance or effectiveness, you suggest and create them
