Data Scientist - Water Quality and Treatment

About the Role

Key Responsibilities

• Identify and correct data quality issues such as missing, incorrect, incomplete, or inaccurate information to ensure clean and reliable datasets for analysis.
• Collect, process, and analyze structured and unstructured data to derive actionable insights and support data-driven problem solving.
• Apply statistical methods, predictive modeling, and data mining techniques to forecast outcomes and assess model performance.
• Design and implement automated tools and workflows that generate intuitive data visualizations, maps, and dashboards to support data interpretations and decision making.
• Develop, test, and deploy algorithms and models that support machine learning and artificial intelligence initiatives.
• Utilize programming languages such as Python, R, SQL, and tools like Model Builder to automate data processing, perform analysis, and visualize results.
• Collaborate with teams across Denver Water to optimize data collection, integration, and analysis workflows, improving overall data pipeline efficiency.
• Support organizational goals by translating business needs into analytical tasks and providing stakeholders with clear, accurate, relevant, and timely insights.
• Contribute to the development and maintenance of scalable, production-ready models and participate in continuous improvement of model accuracy and performance.
• Develop data-driven solutions for water quality and treatment challenges such as treatability, chemical optimization, remote plant operations, and system monitoring.
• Create dashboards and visualizations to support decision making, compliance and non-compliance reporting, capital planning, and asset management.
• Collaborate with various stakeholders including operations, maintenance, laboratory, distribution, engineering, and water resources.
• Stay informed of industry trends through research and development, recommending opportunities for innovation in the WQ&T section.

Requirements

• Bachelor's Degree from an accredited college or university in Statistics, Applied Mathematics, Engineering, Computer Science, Economics, or related field.
• Minimum 4 years of related work experience.
• Ability to possess and maintain a valid Class ‘R' Colorado driver's license and have a satisfactory driving record at the time of hire.
• Experience with data mining, statistical analysis, machine learning, feature extraction, and AI.
• Proficiency in programming languages such as Python, R, SQL, and tools like Model Builder.
• Knowledge of data quality management, data processing, and visualization techniques.

Nice to Have

• Cover letter
• Potential work from home opportunities

Qualifications

• Bachelor's Degree in a relevant field
• At least 4 years of related work experience