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This role involves developing and implementing machine learning models to analyze and predict energy consumption, grid stability, and load demand.
About the Role- We are seeking a talented Data Scientist to join our team and contribute to the development of innovative AI-driven solutions that support data-driven decision-making and business transformation.
The successful candidate will work in an innovative environment at the heart of the energy transition, working closely with business units in grid analytics and innovation.
Key Responsibilities- Leverage electrical power system knowledge to develop data-driven and AI-powered solutions for power grid analytics.
- Collaborate with cross-functional teams, including business experts and data engineers in the electricity field.
- Design and implement interactive dashboards and visualizations using Grafana.
- Apply traditional and AI-powered time series analysis techniques to forecast and analyze energy consumption, grid stability, and load demand.
- Degree in Engineering, Physics, Computer Science, Data Science or related fields.
- At least 2 years of experience in machine learning and data science and analytics.
- Proficiency in using JupyterLab or AWS Sagemaker for interactive data analysis and model development.
- Strong proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, and Statsmodels.
- A competitive salary with additional benefits.
- Continuous learning and career development opportunities.
- A hybrid working model.
