Environmental Data Scientist—Restoration & Impact Analysis

Industrial Economics, Incorporated (IEc); Cambridge (MA); Hybrid; USD 70,000 - 90,000; Full time

Benefits offered by this job

Health insurance

Retirement savings contributions

Employee Assistance Program

Flexible vacation/holiday time

Professional development opportunities

Sick time and short- and long-term-dis

Disability

Paid family and medical leave

Commuter benefits

Recreational and social opportunities

Job summary

Industrial Economics, Incorporated (IEc) in Cambridge, MA seeks a Scientist to support natural resource damage assessments, oil spill analyses, and restoration planning. The role focuses on ecological and water assessments, large data sets, and robust quantitative analyses with SQL, Python, and R.

You will draft technical deliverables, review environmental documents, and work in GIS/spatial analysis software, participating in a hybrid in-office schedule in Cambridge three days a week with

Qualifications

• Master’s degree or PhD in ecology, biology, toxicology, geology, chemistry, hydrogeology, hydrology, or related field.
• Experience with data analysis in a scripting or database environment (Python, R).
• Qualitative or quantitative skill such as GIS, geostatistics, or relational database design.

Responsibilities

• Gather, manage, and evaluate large environmental datasets.
• Design and implement quantitative analyses using various scientific methods.
• Synthesize information, write reports, and present findings.
• Review remedial and technical documents and draft deliverables; support site data documentation.

Skills

Data analysis (Python)

Data analysis (R)

SQL

ArcGIS Pro

Education

Master’s degree or PhD in ecology/related field

Tools

Python

R

SQL

ArcGIS Pro

Job description

Industrial Economics, Incorporated (IEc) in Cambridge, MA seeks a Scientist to support natural resource damage assessments, oil spill analyses, and restoration planning. The role focuses on ecological and water assessments, large data sets, and robust quantitative analyses with SQL, Python, and R.

You will draft technical deliverables, review environmental documents, and work in GIS/spatial analysis software, participating in a hybrid in-office schedule in Cambridge three days a week with