Entry-Level Environmental Statistician

AECOM•Novi, MI

1d•$60,500 - $75,000•Hybrid

About The Position

AECOM is seeking an entry-level Environmental Statistician to support environmental remediation and consulting teams in its Novi or Grand Rapids, Michigan office. The position is intended for an early-career professional with a strong quantitative background who is interested in applying statistical methods to environmental data and practical environmental challenges. The role is expected to begin as soon as possible. The successful candidate will work with experienced scientists and technical professionals to organize, analyze, visualize, and interpret environmental datasets. The position supports project teams in evaluating environmental data and preparing technically sound analyses for reports, presentations, and client deliverables. Work is performed collaboratively across multidisciplinary teams and on multiple projects, with established schedules and quality requirements. The role is hybrid. AECOM requires all newly hired employees to attend in-person Day 1 onboarding at an AECOM office location. Relocation assistance is not available.

Requirements

Bachelor's degree in Statistics, Applied Mathematics, Data Science, Environmental Science, Environmental Engineering, or a closely related quantitative discipline.
U.S. citizenship is required due to the nature of the work.

Nice To Haves

Master's degree or graduate coursework in Statistics, Biostatistics, Applied Mathematics, Data Science, Environmental Science, or a related discipline.
Coursework or experience involving environmental statistics, spatial statistics or geostatistics, sampling design, regression, multivariate analysis, or time-series analysis.
Familiarity with one or more analytical tools such as R, Python, SAS, MATLAB, or similar statistical software.
Proficiency with Microsoft Excel and other Microsoft Office applications.
Familiarity with GIS or spatial datasets.
Experience working with environmental, laboratory, groundwater, soil, sediment, surface-water, or other scientific datasets.
Previous internship, research, or academic project experience involving statistical analysis of real-world data.
Strong quantitative, analytical, and problem-solving skills.
Ability to communicate analytical results clearly in writing and verbally.
Ability to work effectively as part of multidisciplinary project teams.

Responsibilities

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.
Develop 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 before statistical analysis.
Use statistical and analytical software such as R, Python, Excel, or similar tools to manage and analyze data.
Help project teams interpret analytical results and communicate findings to technical and nontechnical audiences.
Collaborate with environmental statisticians, scientists, engineers, geologists, GIS professionals, and other project team members.
Document analytical methods, assumptions, results, and supporting information clearly and reproducibly.
Support multiple environmental projects while meeting established schedules and quality requirements.