QUALIFICATIONS:

• Must have a Bachelor’s/College Degree in any of the following or related  fields: Engineering, Statistics, Math, Applied Math, Data Analytics, Data Science.
• With at least three (3) years of relevant work experience in data analysis and interpretation, machine learning model development, data visualization and reporting, collaboration and stakeholder management.
• Proficient in using data tools and platforms (e.g. Matlab, MS Fabric) and programming languages (e.g. Python, SQL).
• Previous work experience in water/wastewater operations is a plus.

RESPONSIBILITIES:

• Identify and gather structured and unstructured data from various sources that is relevant and will support the Operations Group’s attainment of KPIs and efficiency targets and successful completion of service improvement initiatives.
• Provide descriptive, diagnostic, predictive, and prescriptive analytics report on the operational data of water supply, wastewater, and support groups that will drive business and operational decisions.
• Perform exploratory data analysis to uncover past trends and patterns and provide actionable insights based on the historical data.
• Perform investigative analysis to identify root cause of pertinent operational issues and concerns and recommend solutions to address them.
• Identify pain points and critical paths in the attainment of targets and maximize the power of data to provide actions and solutions together with the operating units.
• Develop, train, and evaluate machine learning models for forecasting critical operational parameters such as water quality, billed volume and supply, etc.
• Deploy, monitor, optimize, and utilize these machine learning models to generate forecasts and insights that will support efficient operations.
• Develop advanced anomaly detection systems for operational data through machine learning to help in quick escalation and resolution of operational issues and concerns.
• Develop, maintain, and improve OPSG data models and dashboards through PowerBI and relevant visualization tools. 
• Work and collaborate with the operating units to understand their data needs and provide tailored solution.
• Work and collaborate with the data management and governance section on the data requirements of the group.
• Stay updated in the newest trends on AI/ML and data analytics and lead continuous improvement initiatives related to this.

Please refer to job description.