
103401 Senior Advanced Data Scientist
- Singapore
- Permanent
- Full-time
- Data Analysis & Interpretation: Analyze large datasets from HVAC systems, including time-series data, sensor data, and building automation data.
- Machine Learning: Apply machine learning techniques like regression, clustering, and time-series analysis to predict energy consumption, identify maintenance needs, and optimize system performance.
- Data Visualization: Create visualizations to communicate insights and recommendations to stakeholders.
- Domain Knowledge: Possess a strong understanding of HVAC systems, including different types of HVAC equipment, building automation systems, and energy efficiency principles.
- Statistical Analysis: Perform statistical analysis to identify trends, patterns, and anomalies in HVAC data.
- Problem Solving: Develop and implement data-driven solutions to address specific challenges in HVAC systems, such as energy waste, equipment failures, and indoor comfort issues.
- Predictive Maintenance: Use machine learning models to predict when HVAC equipment may fail, enabling proactive maintenance and reducing downtime.
- Energy Consumption Optimization: Identify opportunities to reduce energy consumption by analyzing HVAC system data and optimizing control strategies.
- Indoor Environmental Control: Use data analytics to optimize indoor comfort by adjusting temperature, humidity, and ventilation settings based on occupancy, weather conditions, and building automation data.
- Fault Detection and Diagnosis: Analyze sensor data to identify and diagnose faults in HVAC systems, leading to faster and more efficient repairs.
- Performance Evaluation: Assess the performance of HVAC systems and identify areas for improvement by comparing actual performance against benchmarks and standards.
- Smart HVAC Systems: Develop and implement intelligent control systems that automatically adjust HVAC settings based on real-time data and occupancy
- Bachelors degree or Advanced degree in Computer Science, Statistics, Mathematics, or related discipline
- 10+ years of Experience in leading and ownership of complex data projects
- Strategic thinking and the ability to align data science initiatives with business objectives