Aktualne oferty pracy związane z Data Scientist for Green Energy Solutions - Kraków, Lesser Poland - TN Poland
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Data Scientist for Green Energy Solutions
1 tydzień temu
We are seeking an experienced Data Scientist to join our team and contribute to the development of innovative solutions for the green energy sector.
About the RoleThe ideal candidate will have a strong background in machine learning and experience in developing and implementing AI-powered solutions for energy management and prediction.
About Us
TN Poland is a leading technology company that specializes in the development of cutting-edge solutions for the energy sector.
Your Responsibilities
- Design and develop machine learning models to optimize energy management and predict energy demand.
- Collaborate with cross-functional teams to integrate AI-powered solutions into existing systems.
- Maintain an up-to-date knowledge of state-of-the-art machine learning and artificial intelligence technologies.
- Propose and work on ideas and concepts of new approaches to solving optimization or control problems with business impact, turn them into prototypes and verify them.
- Network in the company and actively distribute your knowledge and expertise.
- Collaborate with local and global external partners including universities, open-source communities, startups, and vendors.
- Disseminate your results in scientific publications, patent applications, and technical reports.
Requirements
- Masters or PhD degree or equivalent industrial experience in Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Computer Science, or any related field.
- Experience with Data Science Programming Languages (Python and associated data science libraries) and Deep Learning Frameworks (Tensorflow, PyTorch).
- Experience in applying data science and AI/ML methods to solve practical problems. This includes selecting and explaining appropriate approaches, algorithms, and parameters based on the decision task and available data.
- Willingness to take an interdisciplinary approach, working with experts from different domains and integrating AI/ML approaches with physical modeling, analytical methods, and simulations.
- Experience that demonstrates your team-oriented, innovative, and strategic working styles.
- Fluency in English, both written and spoken.
