Data Scientist – Environmental Engineering

🔥 13 hours ago

🇺🇸 United States – Remote

💵 $95k - $155k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

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Brown and Caldwell

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1947

💼 Consulting

🏗️ Construction

🏥 Healthcare

Consulting • Construction • Healthcare

Brown and Caldwell is an environmental engineering and consulting firm focused on water and wastewater systems, providing end-to-end solutions from design and construction management through operations, treatability testing, pilot demonstrations, and digital optimization. The company specializes in membrane and advanced water-treatment technologies (including potable reuse and PFAS/emerging contaminant solutions), climate change resilience, utility performance, and research and innovation to serve utilities, municipalities, and industrial clients. Brown and Caldwell combines field services, laboratory work, and digital tools (e. g. , BC:Opta™) to improve water stewardship, sustainability, and infrastructure performance.

📋 Description

• Design, build, and deploy advanced analytics and machine learning models for water and environmental challenges • Identify and define AI and ML opportunities in the water and wastewater industry • Develop and deploy models, generative and agentic AI solutions, web applications, and geospatial analyses • Support cloud-based application development and deployment for internal and external users • Conduct exploratory data analysis, model building, statistical analysis, feature extraction, and hyperparameter tuning • Set up data storage systems, preprocess data, and create data visualizations • Build and optimize machine learning models • Follow DevOps, software engineering, version control, and model deployment best practices • Collaborate with cross-functional and multidisciplinary project teams to understand data needs • Present findings to internal stakeholders and support client-facing presentations • Monitor industry trends and research advancements in machine learning and water-sector applications • Represent Brown and Caldwell at conferences and in technical publications • Provide mentorship and knowledge-sharing to less experienced team members as needed • Execute additional assignments based on evolving needs

🎯 Requirements

• Minimum 2 years of Data Science or related experience • Typically certified in the SMS Framework and progressing through SMS competencies • Strong programming skills in Python and R • Proficiency in relevant libraries and frameworks • Clean, maintainable, scalable code development with minimal oversight • Basic knowledge of water, wastewater, environmental engineering, and science topics • Degree in computer science, engineering, or related field, or equivalent experience • High proficiency in Python, pandas, NumPy, scikit-learn, and SQL • Experience developing and deploying generative AI applications, retrieval systems, and agentic workflows • Experience building data-driven applications, APIs, web tools, and interactive user interfaces • Experience with cloud-based solutions, DevOps, Azure, DevSecOps, and MLOps • Experience with Azure Machine Learning Studio, Azure Databricks, Azure Synapse Analytics, and Azure Cognitive Services/OpenAI API integration • Experience developing data-processing workflows for ML algorithms • Understanding of regression, clustering, random forests, gradient boosting, neural networks, and statistics • Experience with TensorFlow and PyTorch • Knowledge of software engineering principles, Git, and production-ready code • Experience with CI/CD for ML, such as GitHub Actions or Azure DevOps • Experience with streaming data processing and time-series forecasting for IoT and edge computing • Proficiency in cloud infrastructure and web application development • Experience with geospatial data processing, spatial analysis, and interactive mapping • Ability to engage clients, identify needs, and position data-driven consulting solutions • Strong problem-solving skills and ability to work collaboratively across functions • Excellent communication skills with technical and non-technical stakeholders • Willingness to stay current with data science and environmental engineering trends • Subject to pre-employment background check and drug test

🏖️ Benefits

• Medical, dental, and vision insurance • Short- and long-term disability insurance • Life insurance • Employee assistance program • Paid time off • 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 • Exceptional development opportunities