Senior Data Scientist - #1621642

Senior Data Scientist – Deep Learning Focus

About the Role:

Our client is seeking a motivated and experienced Senior Data Scientist to join their team. This is an exciting opportunity to contribute to the development and deployment of cutting-edge deep learning models in time series analysis and energy. The successful candidate will work with large, complex datasets and engage in the full model development lifecycle, from data exploration and preprocessing to model training, evaluation, and deployment. These models are deployed both in the cloud and on embedded systems, powering consumer applications and real-time embedded applications on electrical meters.

Responsibilities:

• Design, develop, and implement deep learning models for device disaggregation.


• Conduct thorough data analysis and preprocessing to prepare data for model training.


• Train and evaluate deep learning models using appropriate metrics and techniques.


• Contribute to the curation of ground truth data.


• Experiment with different model architectures and hyperparameters to optimize performance.


• Collaborate with a cross-functional team to deploy, maintain, and support deep learning models in production environments.


• Stay up-to-date with the latest advancements in deep learning research and technologies.


• Contribute to the development of data science infrastructure and best practices.


• Mentor and guide junior data scientists.

Qualifications:

• Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Statistics, Electrical Engineering, Computer Engineering, or a related field.


• 5+ years (Senior) / 8+ years (Principal) of experience in data science, with a strong focus on deep learning.


• Experience in training and deploying deep neural networks using popular frameworks such as TensorFlow, PyTorch, or Keras.


• Solid understanding of deep learning architectures (CNNs, RNNs, Transformers, etc.) and their applications.


• Proficiency in programming languages such as Python and experience with relevant libraries (e.g., NumPy, Pandas, Scikit-learn).


• Experience working with large datasets.


• Strong communication and collaboration skills.

This role offers the chance to be at the forefront of deep learning applications in the energy sector, working with a highly skilled team to drive innovation and impact. If you are looking for a challenging and rewarding opportunity, we encourage you to apply.