Collaborate cross-functionally with business, technical, and operational teams to ensure alignment of digital energy solutions with organizational goals and support end-to-end project execution from ideation to impact.
Conduct in-depth energy data analysis to develop strategic recommendations that drive sales growth, enhance customer service, and optimize financial performance.
Development and implementation of advancedDigital Energy Solutions, including Aggregator Platforms, Solar/Load Forecasting Systems, Energy Management System and Demand Response.
Creation and execution of advanced analytics and model development, including the technical design, training, and deployment of sophisticated forecasting models leveraging machine learning (ML) and AI-based methodologies to deliver predictive accuracy and actionable insights.
Serve as a subject-matter expert in integrating advanced analytics to enhance energy business and drive strategic decision-making.
Build and foster a data-driven culture to enhance the efficiency, sustainability, and profitability of energy business.
Stay updated with the latest advancements in data science and machine learning to continuously innovate and deliver impactful solutions.
JOB SPECIFICATION
Ability to translate complex analytical results into strategic business insights, effectively bridging technical solutions with practical business applications in the energy sector.
Advanced knowledge of machine learning algorithms and techniques, with practical experience in statistical analysis and predictive modeling.
Proficiency in data manipulation and analysis tools such as Pandas, NumPy, dplyr, and the ability to work with both structured and unstructured data sets.
Hands-on experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, Keras, PyTorch) for developing and deploying models.
Expertise in data visualization tools (e.g., Matplotlib, Seaborn, ggplot2, BI) to effectively communicate insights.
Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud, Azure) is highly advantageous.
