Applied Research Mathematician

RESPONSIBILITIES - Analyze problems and determine procedures required to solve technical problems;- Create computer algorithms, data models, and protocols;- Identify new applications of known techniques;- Analyze data, algorithms, and communication protocols using mathematical/statistical methods;- Develop and apply mathematical or computational methods and lines of reasoning;- Design, develop and debug software solutions;- Create and maintain documentation on research processes, analyses and/or the results;- Write logical and accurate technical reports to communicate ideas across the enterprise;- Effectively instruct, mentor, and support the professional development of colleagues in the areas of technical expertise. SKILLS The ideal candidate is someone with excellent problem-solving, communication, and interpersonal skills, who possesses a range of knowledge and experience with:- Applying principles and methods of linear algebra (e.g., vector spaces, matrices, matrix manipulations) to solve complex problems;- Applying the mathematical principles, combinatorial methods or elicitation techniques to determine or calculate the likelihood of outcomes;- Quantifying the likelihood of an event's occurrence;- The scientific principles, methods, and processes used to conduct research studies (e.g., study design, data collection and analysis, and reporting results);- Concepts and procedures for applying algorithm design techniques (e.g., data structures, dynamic programming, backtracking, heuristics, and modeling) to design correct, efficient, and implementable algorithms for real-world problems;- Debugging and testing software programs;- Using best programming practices (e.g., appropriate coding standards, algorithm efficiencies, coding documentation);- Using principles, techniques, procedures, and tools that facilitate the development of software applications;- Using software and computer languages and skills (e.g., writing code, debugging/testing programs, fixing syntax, correcting logic errors, using abstract data types) to develop programs that meet technical requirements- Applying data-analytic techniques to analyze, visualize, and summarize sample data from populations;- Drawing inferences regarding populations based on results from sample data.Qualified app