Applied Mathmatician

Full time

Framingham, MA

The Applied Mathematician works in a collaborative team-focused environment with technical understanding and practical application in prototyping, designing, and integrating niche tools that will be used in an analytical environment. This position will help progress, establish, incorporate, and advance current and promising concepts to inform tactical decision-making
timelines. The role is to provide the needed knowledge and proficiency to develop algorithms to conduct analyses to support physics-based modeling.


  • Conduct analysis of mission data applicable to defensive space domain to promote awareness and understanding about threat behaviors and vulnerabilities
  • Advance and progress probabilistic graphical models for integration into simulation scenarios
  • Formulate and interpret problems in mathematical or computational terms
  • Design, develop, use, and evaluate mathematical models, methods, and algorithm application to explore concepts and solve problems for the customer
  • Develop, maintain, and enhance complex and diverse software algorithms (e.g. processing-intensive analytics, novel process development, manipulation of large data sets)
  • Research analysis products and tools for possible integration to enhance Modeling & Simulation framework
  • Create new tools and applications using a variety of software languages, frameworks, and libraries
  • Improve, support, and test a Modeling & Simulation framework to support other team member’s analysis work
  • Refine and enhance existing applications to better meet the customer’s mission
  • Code, test, and maintain internally developed mathematical software tools
  • Other duties as assigned


  • A Ph.D. in Mathematics, Statistics, Physics, Information Technology field, or related discipline is required; or Master’s Degree with 3+ years of experience
  • Demonstrated proficiency in programming languages such as R, Python, C/C++, Java, .NET on Windows and UNIX systems as appropriate
  • Hands-on experience creating algorithms and engineering tools for data processing, modeling, and simulation
  • Practical understanding in modeling and simulation with a focus on optimization, including theoretical and numerical methods for the analysis of current and future systems
  • Must have the aptitude and attitude to tackle unsolved technical challenges
  • Capability to distill complex problems into digestible structures/formats
  • Experience and knowledge related to visualizing and conveying information results
  • Ability to communicate very technical subjects to a diverse audience with varying levels of technical expertise
  • Experience in data analysis and modeling and of operational space systems, assessing performance in current and projected operational environments
  • Knowledge and experience with configuration management and version control tools