Entry Level Data Scientist

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 …