数据科学家 - 环境工程
Data Scientist - environmental engineering
作为布朗与卡尔德威尔（Brown and Caldwell，简称BC）的的数据科学家，你将在设计、构建和部署先进的分析和机器学习模型方面发挥关键作用，以解决复杂的水和环境问题。我们正在利用现代技术，改变全国范围内水资源管理的方式。
此数据科学职位协助跨职能团队识别和定义在水务和污水处理行业使用人工智能和机器学习的机会。该职位在更有经验的数据科学家的监督和指导下，开发和部署模型、生成式和代理式AI解决方案、网页应用和地理空间分析，从多样化的数据源中提取洞察。该职位还与多学科项目团队合作，支持基于云的应用程序开发和部署，面向内部和外部用户。通过技术演讲和论文，该职位代表BC参加行业会议和发表研究成果。工作在一般监督下进行，自主性有限。
此职位战略意义重大，因为它位于BC的工程专长与水务行业迅速扩展的数字化未来交汇处。它将高级分析、人工智能、机器学习和实时决策支持带入一个这些能力正日益成为客户必需的领域。你的工作将直接影响我们构建数字解决方案的能力，以确保清洁水源、繁荣社区和环境保护的未来。
可能需要现场面试。
职责
- 进行复杂的数据分析。
- 执行数据科学任务，如探索性数据分析、模型构建、统计分析、特征提取和超参数调优。
- 建立数据存储系统，预处理数据，并在标准平台中创建引人注目的数据可视化。
- 构建和优化机器学习模型。
- 遵循DevOps最佳实践进行模型部署。
- 与跨职能团队协作，理解数据需求。
- 向内部利益相关者汇报发现，并支持面向客户的演示。
- 遵循软件工程和版本控制的最佳实践。
- 监控并应用机器学习在水务领域的行业趋势和研究进展。
- 根据不断变化的需求，灵活适应并执行各种额外任务。
指导
· 可能提供指导和帮助
查看英文原文
As a Data Scientist at Brown and Caldwell (BC), a leading environmental engineering firm, you will play a pivotal role in designing, building, and deploying advanced analytics and machine learning models that solve complex water and environmental challenges. We are using modern technology to transform the way that water is managed across the country.
This Data Science role assists cross-functional teams with identifying and defining opportunities to use AI and ML in the water and wastewater industry. The role develops and deploys models, generative and agentic AI solutions, web applications, and geospatial analyses to extract insights from diverse data sources under the supervision and guidance of more experienced data scientists. The role also supports cloud-based application development and deployment for internal and external users in collaboration with multidisciplinary project teams. This role represents BC at conferences and in publications through technical presentations and papers. Work is performed under general supervision with limited autonomy.
This role is strategically important because it sits at the intersection of BC’s engineering expertise and the rapidly expanding digital future of the water industry. It brings advanced analytics, AI, machine learning, and real-time decision support into a field where these capabilities are becoming essential for our clients. Your work will directly impact our ability to build digital solutions that ensure a future of clean water, thriving communities, and environmental protection.
In-person interviews may be required.
Responsibilities
- Conduct complex data analyses.
- Execute data science tasks such as exploratory data analysis, model building, statistical analysis, and feature extraction, and hyperparameter tuning.
- Set up data storage systems, preprocess data and create compelling data visualizations in standard platforms.
- Build and optimize machine learning models.
- Follow DevOps best practices for model deployment.
- Collaborate with cross-functional teams to understand data needs.
- Present findings to internal stakeholders and support client-facing presentations.
- Follow best practices for software engineering and version control.
- Monitor and apply industry trends and research advancements in machine learning and applications in the water sector.
- Flexibility to adapt and execute various additional assignments based on evolving needs.
Mentorship
· May provide mentorship, guidance, support, and knowledge-sharing to help less experienced team members develop their skills and grow within their roles.
Skills and Competencies
- 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.
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.
Preferred Experience
- 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.
Education
· A degree in computer science, engineering, or related field or equivalent experience is required.
Preferred Education
· Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a related field.
Salary Range: The anticipated starting pay range for this position is based on the employee’s primary work location and may be more or less depending upon skills, experience, and education. These ranges may be modified in the future.
Location A: $95,000 - $129,000
Location B: $104,000 - $142,000
Location C: $114,000 - $155,000
You can view which BC location applies to you here. If you have any questions, please speak with your Recruiter.
Benefits and Other Compensation: We provide a comprehensive benefits package that promotes employee health, performance, and success which includes 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 and long-term care insurance. Click here to see our full list of benefits.
About Brown and Caldwell
Headquartered in Walnut Creek, California, Brown and Caldwell is a full-service environmental engineering and construction services firm with 50 offices and over 2,100 professionals across North America and the Pacific. For more than 75 years, we have created leading-edge environmental solutions for municipalities, private industry, and government agencies. We strive to be the company of choice—to our clients, who benefit from our passion for delivering exceptional quality, and to our employees, present and future, who share our commitment to client service, collaboration, and innovation. Join us, and you will find a home where you can do your best work, reach new levels of expertise, and enjoy exceptional development opportunities. For more information, visit
Learn more about our work:
Climate Change and Resilience - Brown and Caldwell
Data Center Water - Brown and Caldwell
Emerging Contaminants and PFAS - Brown and Caldwell
Digital Solutions - Brown and Caldwell
News - Brown and Caldwell
Projects - Brown and Caldwell
Industrial Water - Brown and Caldwell
This position is subject to a pre-employment background check and a pre-employment drug test.
Notice to Third Party Agencies: Brown and Caldwell does not accept unsolicited resumes from recruiters or employment agencies. In the event a recruiter or agency submits a resume or candidate without a previously signed agreement and approved engagement request with Brown and Caldwell, Brown and Caldwell reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.
Brown and Caldwell is proud to be an EEO/AAP Employer. Brown and Caldwell encourages protected veterans, individuals with disabilities, and applicants from all backgrounds to apply. Brown and Caldwell ensures nondiscrimination in all programs and activities in accordance with Title VI of the Civil Rights Act.
Originally posted on Himalayas