Data Scientist — Water Utilities Analytics

Timeo -Performance; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Timeo-Performance Pte Ltd is seeking a Data Scientist to advance analytics for water utilities operations. You will work with large datasets, apply ML techniques, and translate results into practical data-driven solutions for sustainability and efficiency.

You will collect and process data from sensor networks, build models for demand forecasting and anomaly detection, and communicate insights to technical and non-technical stakeholders in a collaborative environment.

Qualifications

• Bachelor's degree in Data Science, Mathematics, Statistics, AI or related quantitative field.
• At least 1 year of experience developing real-time machine learning projects.
• Strong knowledge of data analysis, statistical modeling, and ML techniques.
• Proficiency in Python, R, SQL and data manipulation/visualization libraries.
• Ability to prototype and test analytical ideas with simple code.

Responsibilities

• Collect, clean and preprocess data from various sources for analysis and modeling.
• Develop, maintain data pipelines ensuring data availability and integrity.
• Build predictive models to forecast water-related metrics and insights.
• Create visualizations and dashboards for stakeholders and decision-makers.
• Monitor model performance and optimize solutions for reliability.

Skills

Real-world problem solving

Communication

Collaboration

Critical thinking

Education

Bachelor's degree in Data Science or related field

Tools

Python

R

SQL

pandas

scikit-learn

matplotlib

seaborn

Job description

Timeo-Performance Pte Ltd is seeking a Data Scientist to advance analytics for water utilities operations. You will work with large datasets, apply ML techniques, and translate results into practical data-driven solutions for sustainability and efficiency.

You will collect and process data from sensor networks, build models for demand forecasting and anomaly detection, and communicate insights to technical and non-technical stakeholders in a collaborative environment.