Advanced Data Scientist Leader
1 week ago
As a Principal Data Scientist, you will play a pivotal role in advancing renewable energy and green iron initiatives. You will lead the design, development, and application of simulation-driven machine learning approaches that optimize techno-economic performance across large-scale renewable and green industrial projects.
Key Responsibilities:- Lead Development: Design and develop advanced simulation and ML-driven frameworks for renewable energy and green iron.
- Mentor and Guide Teams: Mentor and guide teams in modeling, data quality, and uncertainty management.
- Translate Insights: Translate technical insights into clear recommendations for senior leaders.
- Create Hybrid Models: Create hybrid models combining simulation, optimization, and machine learning.
- Apply Machine Learning: Apply machine learning to speed up simulations, identify cost drivers, and optimize systems.
- Build Models: Build models linking renewable energy, hydrogen, electrolyzers, and green iron production.
- Integrate Data: Integrate engineering, cost, and financial data into unified decision-support tools.
- Run Scenario Analyses: Run scenario analyses and sensitivity studies to guide investment and delivery.
- Drive Innovation: Drive innovation with digital twins, surrogate models, reinforcement learning, and partnerships.
This is an exciting opportunity to make a significant impact on the future of renewable energy and green iron. If you are passionate about driving innovation and optimizing performance, we encourage you to apply.
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