Engineer

• Analyze and interpret environmental data using statistical, coding, and visualization tools including R and Python.
• Develop and apply mathematical models, including preparing inputs, processing outputs, interpreting and presenting results, and communicating findings to technical and nontechnical audiences.
• Support internal software and data resource development by becoming proficient in existing scripting tools and contributing to the design and maintenance of new tools, processes, and code libraries.
• Assist with the preparation of technical documents, including sampling and analysis plans, remedial investigation and feasibility study reports, and data summaries.
• May participate in field assignments for environmental sampling (soil, sediment, groundwater, and surface water), equipment calibration, and data collection; fieldwork may account for up to 25% of time and include travel.

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