AECOM is seeking an Entry-Level Environmental Statistician for our Novi or Grand Rapids, Michigan office to support our environmental remediation and consulting teams. This position is an excellent opportunity for an early-career professional with a strong quantitative background who is interested in applying statistical methods to environmental data and real-world environmental challenges.
This position is expected to begin ASAP.
The successful candidate will work with experienced scientists and technical professionals to organize, analyze, visualize, and interpret environmental datasets. The position will support project teams in evaluating environmental data and developing technical sound analyses for reports, presentations, and client deliverables.
Job responsibilities may include, but are not limited to:
- Compile, organize, review, and analyze environmental datasets from investigation, monitoring, and remediation projects.
- Perform statistical analyses under the direction of senior statistical and technical staff.
- Assist with exploratory data analysis, data visualization, trend evaluation, and interpretation of results, including development of tables, figures, charts, and other data visualizations for technical reports and presentations
- Support statistical evaluations of environmental sampling and monitoring data.
- Develop dashboards and automate reporting.
- Assist with quality control and validation of datasets prior to statistical analysis.
- Use statistical and analytical software such asR, Python, Excel, or similar tools to manage and analyze data.
- Assist project teams with interpreting analytical results and communicating findings clearly to technical and nontechnical audiences.
- Work collaboratively with environmental statisticians, scientists, engineers, geologists, GIS professionals, and other project team members.
- Document analytical methods, assumptions, results, and supporting information in a clear and reproducible manner.
- Support multiple environmental projects while meeting established schedules and quality requirements.