Advanced Data Science Leader

4 days ago

Perth, Western Australia beBeeData Full time $160,000 - $180,000
About the Role

This role combines advanced data science expertise, domain knowledge in energy systems, and leadership to deliver insights that inform strategic decisions and project design.

As a key figure in advancing renewable energy and green industrial initiatives, you will lead the development of simulation-driven machine learning approaches to optimize techno-economic performance across large-scale projects.

Key Responsibilities
  • Develop advanced simulation and ML-driven frameworks for renewable energy and green iron
  • Mentor teams in modeling, data quality, and uncertainty management
  • Translate technical insights into clear recommendations for senior leaders
  • Create hybrid models combining simulation, optimization, and machine learning
  • Apply ML to speed up simulations, identify cost drivers, and optimize systems
  • Build models linking renewable energy, hydrogen, electrolysers, and green iron production
  • Integrate engineering, cost, and financial data into decision-support tools
  • Run scenario analyses and sensitivity studies to guide investment and delivery
  • Drive innovation with digital twins, surrogate models, reinforcement learning, and partnerships
  • Collaborate across teams, promoting transparency and effective communication.
Qualifications and Experience
  • PhD or Master's degree in Data Science, Engineering, Applied Mathematics, Energy Systems, or a related field
  • 8+ years of experience in advanced data science, machine learning, or computational modeling, ideally in energy, resources, or process industries
  • Proven expertise in simulation-based optimization, surrogate modeling, and large-scale data integration
  • Strong proficiency in C++, Python preferred
  • Experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, OpenAI)
  • Familiarity with AWS desired
  • Demonstrated experience linking engineering/physical models with techno-economic analysis
  • Familiarity with renewable energy systems, hydrogen, or metallurgical processes advantageous
  • Excellent leadership, collaboration, and communication skills, with the ability to influence stakeholders.

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