Data Scientist - environmental engineering at Brown and Caldwell | chakrie

Requirements

Education

A degree in computer science, engineering, or related field or equivalent experience is required.
Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a related field.

Experience

Typically, a minimum of 2 years of Data Science or related experience is required.
Typically certified in the SMS Framework, and progressing through the SMS competencies.

Additional Requirements

4+ years of related work experience.
Core Programming: 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 developing cloud-based solutions and follow DevOps best practices for model and application deployment.
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.
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.
Experience with large language models, retrieval, and agentic workflow development.
Proficiency in cloud infrastructure and web application development.
Experience with geospatial data processing, spatial analysis, and interactive mapping.
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.
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.
Strong programming skills in languages such as Python and R, along with proficiency in relevant libraries and frameworks.
Proficiency in writing clean, maintainable, and scalable code with minimal oversight.
Strong communication skills and ability to present findings with some review and oversight.
Basic knowledge of water/wastewater/environmental engineering and science topics.

Responsibilities

A clear overview of what is expected, written by the people who posted it, with every detail you need to decide.

Qualifications, experience and the skills that matter most, along with anything that would make you stand out.

Practical next steps, the documents to prepare and the dates to keep in mind before you apply or get in touch.

Contact details, links to the official source and the notes our team adds after checking each listing by hand.

Skills & expertise

Qualifications, experience and the skills that matter most, along with anything that would make you stand out.

Practical next steps, the documents to prepare and the dates to keep in mind before you apply or get in touch.

Contact details, links to the official source and the notes our team adds after checking each listing by hand.

Everything else on this page, kept up to date and available to every member of Chakrie at no cost at all.

Salary & benefits

A clear overview of what is expected, written by the people who posted it, with every detail you need to decide.

Qualifications, experience and the skills that matter most, along with anything that would make you stand out.

Practical next steps, the documents to prepare and the dates to keep in mind before you apply or get in touch.

Contact details, links to the official source and the notes our team adds after checking each listing by hand.

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Data Scientist - environmental engineering

Summary

Requirements

Education

Experience

Additional Requirements

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Summary

Requirements

Education

Experience

Additional Requirements

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