PFAS Environmental Data Scientist - AI/ML Analytics

AECOM; North Carolina; Hybrid; USD 90,000 - 130,000; Full time

Job summary

AECOM is seeking a PFAS Environmental Data Scientist in Raleigh, NC, delivering data-driven analysis for PFAS site investigations and remediation. You will support experimental design, data management, QA/QC, and ML model deployment, with exposure to cross-disciplinary projects.

The role focuses on building AI-enabled environmental data tools and large curated data libraries, contributing to PFAS forensics, and collaborating across geographies and business lines.

Qualifications

• Bachelor’s degree in a quantitative field and 4+ years in environmental data analysis or equivalent
• Experience applying multivariate analyses and ML to PFAS forensics is preferred
• Proficiency in Python and SQL; experience with Power BI or similar BI tools

Responsibilities

• Provide scientific support for PFAS projects and CSMs
• Design and deploy ML and statistical applications for environmental data
• Build and maintain large, curated data libraries with QA/QC
• Develop ETL pipelines and relational databases for data integrity
• Prepare technical memos and client deliverables
• Collaborate with internal teams and external partners on PFAS studies
• Assist in data-driven experimental design and data evaluation

Skills

Multivariate statistics

Machine learning

Python

SQL

Power BI

EQuIS

GIS

Geospatial analysis

Data management

Laboratory data review

Education

Bachelor’s degree in Data Science or related field

Master’s degree recommended

Tools

ArcGIS Pro

Pandas

scikit-learn

Databricks

Snowflake

Git

Job description

AECOM is seeking a PFAS Environmental Data Scientist in Raleigh, NC, delivering data-driven analysis for PFAS site investigations and remediation. You will support experimental design, data management, QA/QC, and ML model deployment, with exposure to cross-disciplinary projects.

The role focuses on building AI-enabled environmental data tools and large curated data libraries, contributing to PFAS forensics, and collaborating across geographies and business lines.