Data Scientist - environmental engineering

Data Scientist - environmental engineering

Brown and Caldwell is a full‑service environmental engineering and construction services firm located in Phoenix, AZ. Remote work is allowed.

This full‑time role focuses on designing, building, and deploying advanced analytics and machine learning models to address complex water and environmental challenges.

• Collaborate with interdisciplinary teams to translate complex environmental problems into scalable data science and machine learning solutions.
• Design, train, and validate machine learning models using data from various sources.
• Lead the end‑to‑end ML lifecycle, from EDA and feature engineering to model training, hyperparameter tuning, and deployment.
• Develop and implement MLOps practices to ensure models are scalable, reproducible, and monitored for performance drift in production environments.
• Apply advanced statistical methods and time‑series analysis to support demand forecasting, anomaly detection in infrastructure, and predictive maintenance.
• Collaborate with Data Engineers to guide the design of data infrastructure.
• Stay up to date with emerging technologies, tools, and best practices in AI, Large Language Models (LLMs), and environmental engineering.

• Bachelor's degree in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a related field.
• Minimum 5 years of experience in data science, machine learning engineering, or advanced analytics.
• High proficiency in Python (pandas, numpy, scikit‑learn) and SQL.
• Hands‑on experience with PySpark and distributed training frameworks.
• Experience with Azure platform, Dev Sec Ops , and MLOps.
• Experience developing functional data processing workflows to transform raw data into reliable input for ML algorithms.
• Excellent communication skills to interact with technical and non‑technical stakeholders.
• Passion for staying updated with the latest trends, tools, and technologies.

• Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a related field.
• 8+ years of experience in data science, machine learning engineering, or advanced analytics.
• Solid understanding of ML algorithms and statistical concepts; experience with Deep Learning frameworks.
• Demonstrated knowledge of software engineering principles, version control (Git), and best practices for writing clean, production‑ready code; experience with CI/CD for ML.
• Experience with streaming data processing and time‑series forecasting, particularly for IoT and edge compute applications.
• Knowledge of geospatial data processing and analysis (GIS, Geo Pandas).
• Demonstrated ability to engage with clients to identify needs.

Salary is based on location and experience.

• Location A: $118,000 - $161,000
• Location B: $130,000 - $177,000
• Location C: $142,000 - $194,000

Comprehensive benefits package includes medical, dental, vision, life, retirement, PTO, and more.

Brown and Caldwell is a full‑service environmental engineering and construction services firm.