As a Data Scientist at Brown and Caldwell, you will play a crucial role in advancing our capabilities by developing and implementing machine learning models, algorithms, and data-driven solutions tailored to the field of water and wastewater management. Your work will directly impact our ability to optimize resource utilization, predict maintenance needs, and enhance overall operational efficiency for public and private water and wastewater utilities.

Detailed Description:

In this role you will join a team of data scientists and data engineers who are working to transform the water and wastewater industry through the application of modern data-driven solutions. This national-level position will work across all of BC’s technical subject areas, including but not limited to: water treatment, wastewater treatment, solids and energy, asset management, water reuse, water resources, and stormwater.  Under the guidance of mid-level data scientists, you will:

• Collaborate with cross-functional teams of environmental engineers, data scientists, and software developers to identify and define machine learning opportunities in the water and wastewater industry.
• Develop and deploy machine learning models to extract insights from various data sources, such as sensor data, historical records, and geospatial information.
• Collaborate with data engineers to identify requirements for efficient storage and retrieval of relevant data, ensuring data quality and integrity. 
• Apply data preprocessing, exploratory data analysis, feature engineering, and model selection techniques to enhance the accuracy and performance of predictive models.
• Develop algorithms for predictive maintenance, anomaly detection, optimization of industry processes, and condition-based asset management.
• Monitor and apply industry trends and research advancements in machine learning, environmental engineering, and wastewater treatment to drive continuous innovation.
• Represent BC at conferences and in publications through technical presentations and papers.

Desired Skills and Experience:

• Bachelor’s, Master’s, or Ph.D. degree in Civil/Environmental Engineering, Environmental Science, or a related field with a focus on water resources, water treatment, and/or wastewater treatment.
• Bachelor’s, Master's or Ph.D. degree in Computer Science, Data Science, Engineering, or a related field with a focus on machine learning, artificial intelligence, or data science coursework and/or research.
• Proven experience (2+ years) in developing and deploying machine learning models, algorithms, and data-driven solutions.
• Advanced knowledge of statistics, data preprocessing, exploratory data analysis, feature engineering, and model selection techniques to enhance the accuracy and performance of predictive models.
• Strong programming skills in languages such as Python and R, along with proficiency in relevant libraries and frameworks (e.g., TensorFlow, MLFlow, PyTorch, scikit-learn, DARTS, RLLib, etc).
• Demonstrated knowledge of software engineering principles, version control, and best practices for writing clean, maintainable, and scalable code including development of custom GitHub Actions and Workflows for CI/CD.
• Experience working with large datasets, databases, and data integration from various sources.
• Experience optimizing and tuning ML algorithms with standard search methods and advanced automatic ML tuning methods
• Experience detecting and mitigating bias and unfairness in ML algorithms
• Experience using Gen AI infrastructure, LLM, and/or applying generative models to solve problems.
• Familiarity with geospatial data processing and analysis tools is a plus.
• Knowledge of water/wastewater treatment processes, linear asset management principles, and environmental engineering concepts is desirable.
• Strong problem-solving abilities and the ability to translate business requirements into technical solutions.
• Excellent communication skills to effectively collaborate with cross-functional teams and present findings to both technical and non-technical stakeholders.
• A strong sense of innovation and the ability to stay updated with the latest advancements in machine learning and environmental engineering.

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:
Salary $94,000 - $128,000

Location B: 
Salary $103,000 - $141,000

Location C:
Salary $113,000 - $154,000

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 firm with 50 offices and 2,100 professionals across North America and the Pacific. For 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 www.brownandcaldwell.com

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.  Minorities/Women/Disabled and Protected Veterans are encouraged to apply.  Brown and Caldwell ensures nondiscrimination in all programs and activities in accordance with Title VI of the Civil Rights Act of 1964.