
Energy Forecasting Expert
2 weeks ago
We are seeking a skilled Data Scientist to join our team in Singapore. This role is responsible for developing and refining forecasting models that support strategic planning and operational efficiency within the energy sector.
Key Responsibilities:- Design and implement statistical and machine learning models to predict energy demand, supply, and market trends.
- Analyse Energy Data: Collect, clean, and interpret large datasets from various sources including smart meters, weather systems, and market reports.
- Monitor and Validate Model Performance: Continuously evaluate forecasting accuracy and refine models to improve reliability and responsiveness.
- Collaborate with Stakeholders: Work closely with energy planners, engineers, and policy teams to align forecasts with operational and strategic goals.
- Incorporate External Factors: Include variables such as weather patterns, regulatory changes, and economic indicators into forecasting frameworks.
- Master's or PhD in Data Science, Statistics, Energy Systems, Engineering, Applied Mathematics, or a related field.
- 3–5 years of experience in forecasting, data analysis, or energy research (postdoctoral experience preferred for senior roles).
- Proficiency in Python, R, or MATLAB.
- Experience with time series forecasting, machine learning, and statistical modelling.
- Familiarity with energy data sources and modelling platforms.
This role offers the opportunity to work on cutting-edge energy research projects, collaborate with a diverse team of experts, and contribute to the development of innovative solutions for the energy sector.
Others:The ideal candidate will have excellent analytical and problem-solving skills, be able to communicate complex technical concepts effectively, and possess a strong commitment to staying updated with the latest industry trends and advancements.
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