Brown and Caldwell · 9 hours ago
Data Scientist - environmental engineering (remote allowed)
United States
Full-time
Remote
Mid, Senior Level
$118K/yr - $161K/yr
5+ years expBrown and Caldwell is a leading environmental engineering firm that is seeking a Data Scientist / Machine Learning Engineer to design, build, and deploy advanced analytics and machine learning models to address complex water and environmental challenges. The role is crucial in modernizing service offerings and enhancing the technical culture within the organization.
Construction
Responsibilities
Collaborate with interdisciplinary teams of environmental engineers, data engineers, and software developers to translate complex environmental problems into scalable data science and machine learning solutions
Design, train, and validate machine learning models (supervised, unsupervised, and deep learning) using data from various sources, including high-frequency IoT sensor data, historical records, and geospatial information
Lead the end-to-end ML lifecycle, from exploratory data analysis (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, ensuring that datasets are optimized for analytical modeling and machine learning workloads
Stay up to date with emerging technologies, tools, and best practices in AI, Large Language Models (LLMs), and environmental engineering to drive continuous improvement
Qualification
Required
Bachelor's in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a related field
Minimum of 5 years of experience in data science, machine learning engineering, or advanced analytics in a professional setting
Core Programming: High proficiency in Python (pandas, numpy, scikit-learn) and SQL
Big Data & Distributed Computing: Hands-on experience with PySpark and distributed training frameworks
Experience with Azure platform, DevSecOps, and MLOps, specifically: Azure Machine Learning Studio (managing experiments, model registry, endpoints), Azure Databricks and Azure Synapse Analytics, Azure Cognitive Services / OpenAI API integration
Experience developing functional data processing workflows to transform raw data into reliable input for ML algorithms
Strong problem-solving skills and the ability to work in a collaborative, cross-functional environment
Excellent communication skills to interact with technical and non-technical stakeholders, with the ability to explain complex model outputs to engineering leaders
A passion for staying updated with the latest trends, tools, and technologies in data science and environmental engineering
Preferred
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 in a professional setting
Machine Learning & Statistics: Solid understanding of ML algorithms (Regression, Clustering, Random Forests, Gradient Boosting, Neural Networks) and statistical concepts. Experience with Deep Learning frameworks (TensorFlow, PyTorch)
MLOps & Engineering: Demonstrated knowledge of software engineering principles, version control (Git), and best practices for writing clean, production-ready code. Experience with CI/CD for ML (e.g., GitHub Actions, Azure DevOps)
IoT & Time-Series: Experience with streaming data processing and time-series forecasting, particularly for IoT and edge compute applications
Geospatial: Knowledge of geospatial data processing and analysis (GIS, GeoPandas)
Demonstrated ability to engage with clients to identify needs and effectively sell or position data–driven consulting solutions, including translating technical capabilities into clear business value
Benefits
Medical
Dental
Vision
Short and long-term disability
Life insurance
An employee assistance program
Paid time off and parental leave
Paid holidays
401(k) retirement savings plan with employer match
Performance-based bonus eligibility
Employee referral bonuses
Tuition reimbursement
Pet insurance
Long-term care insurance
Company
Brown and Caldwell
Brown and Caldwell is the largest engineering consulting firm solely focused on the U.S. environmental sector.
1001-5000 employees
H1B Sponsorship
Brown and Caldwell has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
2024 (11)
2023 (5)
2022 (7)
2021 (7)
2020 (1)
Funding
Current Stage
Late StageTotal Funding
$0.65MKey Investors
Water Research Foundation
2025-01-09Grant· $0.65M
Leadership Team
Stuart Henshall
Chief Financial Officer
Euan Finlay
President and Chief Operating Officer
Recent News
MarketScreener
2025-12-26
2025-12-26
Company data provided by crunchbase