Data Scientist - Water Quality & Treatment - Remote

Overview

The Start-up, Commissioning & Optimization (SCO) group in the Water Quality & Treatment (WQ&T) section is currently seeking a Data Scientist to support process optimization studies and other projects. Under general supervision, applies statistical analysis, machine learning, and data engineering techniques to extract meaningful insights from complex, large-scale datasets.

In Short

• Identify and correct data quality issues to ensure clean datasets.
• Collect, process, and analyze structured and unstructured data.
• Apply statistical methods and predictive modeling.
• Design automated tools for data visualizations and dashboards.
• Develop and deploy algorithms for machine learning initiatives.
• Utilize programming languages like Python, R, and SQL.
• Collaborate with teams to optimize data workflows.
• Translate business needs into analytical tasks.
• Contribute to the development of scalable, production-ready models.
• Communicate analysis results clearly to stakeholders.

Requirements

• Bachelor’s Degree in Statistics, Applied Mathematics, Engineering, Computer Science, or related field.
• Minimum 4 years of related work experience.
• Knowledge of treatment processes and water quality parameters.
• Experience analyzing water quality and improving monitoring strategies.
• Ability to develop predictive models for process improvement.
• Experience integrating data from multiple platforms.
• Strong project management abilities.

Benefits

• Potential work from home opportunities.
• Collaborative work environment.
• Opportunity to impact water quality and treatment processes.
• Engagement with cross-functional teams.
• Continuous learning and development opportunities.