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2 weeks ago
As a senior data scientist, you will be part of a team that drives innovation in machine learning. Our team is responsible for developing and implementing cutting-edge machine learning solutions to support the energy transition.
Key Responsibilities- Design, build, train, compare, evaluate, deploy, and document machine learning models using state-of-the-art advancements.
- Write robust Python code for novel machine learning use cases and lead brainstorming sessions.
- Create and maintain metadata for operations data sources in the data catalogue and data virtualization environments.
- Take ownership of sharable artifacts such as the graph database of electricity grid assets and initiate knowledge sharing sessions with the analytics user group.
- Successful machine learning projects in production.
- Experience with machine learning Python libraries such as Jax, Scikit-learn, PyTorch, TensorFlow, Wandb, etc.
- Data cleansing, normalization, one-hot encoding, and text embedding.
- Understanding graph data and time-series, and shaping them for machine learning models.
- Deploying models, working with data pipelines, and supporting production systems.
We're looking for someone who has a strong background in machine learning and can drive business value through data-driven insights.
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