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Data Analyst
3 months ago
Data Analyst
The U. S. Army Corps of Engineers Engineer Research and Development Center- Construction Engineering Research Laboratory (ERDC-CERL) is seeking a recent graduate OR a graduate student data analyst to assist in building process-based ecosystem models for DoD lands. Successful candidate will assist in development of modeling frameworks using code from existing open-source models, collaborations with model experts from a variety of universities, agencies, and entities across the country, and create new models through analysis and incorporation of new data sets and sources.
Responsibilities Include:
- Develop input files for process-based models
- Open, collaborative code development using Git, including code review and troubleshooting
- Debugging code from a variety of languages
- Converting Fortran, C, C++ to work with modern programming languages
- Incorporation of error handling to facilitate automation of data handling
- Refine and implement process-based and statistical models of carbon change across diverse ecosystems and land uses at various levels of accuracy and precision
- Acquire and process geospatial data from a variety of sources
- Experience with creating or following an efficient workflow for wrangling of large datasets
- Acquire, process, and analyze large, diverse geospatial and field collected data sets using various tools such as GIS, R, and/or Python to develop data analysis and integration strategies
- Refine and verify assessment methods of model outputs, and evaluate changes under varying environments and conditions
- Conducting research independently as well as in a team setting (collaborative skills)
- Preparation of technical proposals and reports and peer-reviewed scientific journal articles
- U. S. Citizenship is required for this position
Qualifications and Experience:
- B.S. required, M.S. preferred in Computer Science, Engineering, Environmental Science, Geography, Mathematics, Physics, or a related discipline
- Interest and ability to learn new programming languages
- Experience coding and debugging
- Experience with process-based modeling
- Experience with Python, R, Bash, Linux, Open Source, Git, and/or related computer science skills
- Experience with geospatial analysis of open-source geospatial libraries
- Experience with fundamental engineering principles and equations
- Experience with data collection and analyses using DevOps principles
- Experience in environmental principles relating to soil and plant sciences
- Experience developing applications independently, as well as in a team
- Ability to work in a team setting with a variety of backgrounds, including engineers, scientists and other professionals with diverse expertise and backgrounds
- Excellent oral and written communication skills
- Attention to detail
This is a 1-year full time position. On-site is preferred.
U. S. Citizenship is REQUIRED for this position
