Mathematician Job Description
Mathematician Duties & Responsibilities
To write an effective mathematician job description, begin by listing detailed duties, responsibilities and expectations. We have included mathematician job description templates that you can modify and use.
Sample responsibilities for this position include:
Mathematician Qualifications
Qualifications for a job description may include education, certification, and experience.
Education for Mathematician
Typically a job would require a certain level of education.
Employers hiring for the mathematician job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Mathematics, Statistics, Education, Computer Science, Physics, Engineering, Technical, Science, Applied Mathematics, Information Technology
Skills for Mathematician
Desired skills for mathematician include:
Desired experience for mathematician includes:
Mathematician Examples
Mathematician Job Description
- Estimation and adaptive filtering techniques
- Sensor and system modelling, simulation, characterization and analysis
- Conduct research and development of methods for constructing highly accurate coarse (upscaled) models of networks, based on specialized algebraic multigrid techniques utilizing high-performance computing
- Develop software utilizing high-performance computing to evaluate novel techniques in high performance computing
- Develop novel algorithms for efficient and scalable HPC implementations of graph analytic algorithms (partitioning, ranking, distances, ) especially for extremely large scale-free graphs
- Design and implement complex tools for performance analysis of HPC graph analytic algorithms
- Design and develop tools for facilitating the use and understanding of HPC graph analytic algorithms
- Collaborate with scientists and researchers on complex problems in data areas, such as graph analysis, power systems modeling development, modeling and simulation to bring research results to practical use in the Global Security programs
- Write, document, present, and disseminate advanced research by publishing papers in peer-reviewed media and presenting papers within the DOE community and at scientific conferences
- Advocate the use of deep learning and other advanced machine learning algorithms to extract novel insight from Optum unparalleled healthcare data assets
- Considerable independent judgment, the ability to abstract from specific problems to general solutions
- Good skills in the solution of computational science problems on distributed and scalable parallel computers
- Work experience in performing injury biomechanics research, including the use of drop towers, materials testers, and ATDs
- Problem-solving skills to develop techniques to overcome problems in data collection and analysis so that they can draw meaningful conclusions
- Speaking skills to present statistical information and ideas so that others will understand
- Computer skills utilizing Excel and data analysis software such as SAS or SAS JMP
Mathematician Job Description
- Devise methods for identifying data patterns and trends using both qualitative and quantitative techniques
- Develop algorithms and statistical model
- Apply data mining techniques such as predictive analytics or clustering on various data sets
- Serve as a resource for non-routine business inquiries that require performing summary and inferential statistics on various data sets
- Participate in the development of key project deliverables and artifacts such as business requirements, functional design documents, fit/gap analyses, and report mockups
- Work with engineers to review various search algorithms and apply them to the fiber alignment process
- Implement these search algorithms in software to control the motion control hardware which holds the fiber
- Analyze the data from the fiber alignment process and test results to determine the best algorithm
- Document and release changes to the software and test process
- Responsible for driving the RRI culture through values and customer service standards
- Ability to learn and use large databases such as the U.S. Census and American Community Survey
- Ability to design mathematical models to analyze data
- Ability to support a wide variety of data analytics tasks – specific to the energy industry
- Demonstrated ability to work with a variety of Software
- Bachelor's degree in Mathematics or Statistics or Master's degree in Mathematics or Statistics
- Minimum of two to four years work experience with a Bachelor's degree or up to two years work experience with a Master's degree
Mathematician Job Description
- Lead internal and external development efforts with collaborators
- Establish and maintain a deep understanding of current and emerging algorithms in generative modeling, procedural generation, 3D bioprinter data formats and automated image processing
- Oversee the use of algorithms to generate Human Organ Blueprints
- Analyze and present data from 3D printer runs that evaluate novel algorithm performance
- Work closely with the Organ Manufacturing mechanical engineering team to integrate hardware and algorithm development
- Work closely with the Organ Manufacturing biomaterials team to ensure bioink development is integrated with algorithm development
- Analyze data and present results
- Work independently and meet milestones
- Work with software engineering team on implementation of algorithms
- Develop statistical models for engineering, business and manufacturing systems
- Master degree or equivalent advanced education in Mathematics, Statistics or Computer Science
- Demonstrable expert knowledge of the R programming language and good programming practice (code annotation, version control)
- Expertise in object-oriented programming in C++, C#, or Java
- Experience implementing, analyzing, and optimizing numerical methods for the solution of large-scale systems, including systems of ODEs, PDEs, and DAEs
- A record of publications in the areas of numerical analysis, the numerical solution of large scale ODEs and DAEs, algebraic graph theory, and computational optimization methods in peer reviewed, archival journals
- 4 years of experience with applying advanced mathematical techniques to DoD-related problems
Mathematician Job Description
- Analyze data using applications packages such as SAS and R
- Generate and implement algorithms used for computer simulation experimentation and modeling
- Create statistical criteria to be used in product and process testing
- Demonstrate leadership in designing all aspects of a game design including entertainment, pacing, mathematical outcomes, and player communication
- Actively work on multiple projects concurrently, as strong multitasking is essential
- Have meticulous attention to detail to achieve optimal designs, including math models, XML control files, par sheets and customer-facing communication
- Have a demonstrated track record in mentoring other game designers and development staff in order to share innovative solutions and help shape other project features
- Test mathematical outcomes to assure quality and that accurate calculations are achieved (through excel and programming)
- Maintain active field research, analysis and industry knowledge to clearly understand and convey player profiles to develop new features and products
- Create and own all design documentation and deliverables for projects, including game concepts, in-game messaging, marketing communication, game rules, some game documentation, and paytables
- Considerable experience and skills in interdisciplinary research involving mathematicians, computer scientists, and discipline scientists
- Knowledge of program requirements and operational efficiencies, DoD authoritative databases, readiness, manpower, and modernization, top-level fiscal and strategic guidance in support of USMC policies and strategies, Front-End Assessments (FEAs), Program Objective Memorandum (POM), Roles and Missions (R&M), the Quadrennial Defense Review (QDR), and Quick-Turn Assessments
- Knowledge of theoretical optimization and awareness of emerging optimization techniques, tools, and applications
- Knowledge of decision theory
- Ability to apply knowledge of optimization techniques, including linear, non-linear, and integer-based approaches to optimization
- Ability to apply optimization, statistics, and decision theory to DoD problems by non-USMC analytic organizations, program effectively in scripting languages, including VBA, JavaScript, R, or Python, and conduct portfolio and risk analysis
Mathematician Job Description
- Analyze performance data from the marketplace to help identify future game mechanics and industry trends
- Apply advanced mathematical principles, theories, and concepts
- Must possess excellent communication and presentation skills and be able to solve highly complex technical problems, provide innovative solutions and act as a spokesperson on advanced parametric modeling projects in support of internal and external customer endeavors
- Collect, organize, synthesize, and analyze data
- Accept, direct and perform responsibilities as a project team member
- Interprets quantitative data and designs statistical models for researching problems or questions
- Through analysis, identify trends, patterns and relationships in the data that provide answers to data and/or trends that have initially unidentifiable causes
- As part of data analysis, sets the parameters for what data is needed, the method of data collection, and the process and method of data analysis
- Creates tools
- Develops methods for comparison of data sets resulting from similar processes to determine statistical equivalence of the data sets being compared
- PhD degree in Mathematics, Statistics, or Operations Research
- Ph.D., or equivalent, in Mathematics, Statistics or Computer Science
- Demonstrable experience modelling, integrating and comparing a wide range of clinical data types (objective monitoring and assessments, subjective questionnaires, ) and sampling rates (daily, monthly, irregular)
- Ability to explain complex ideas to non-experts
- Undergraduate Degree in Mathematics, Physics, Statistics, Computer Science or Engineering
- Strong verbal and written communication skills in English (French and German are assets)