Lead Data Scientist

Lead Data Scientist

We are looking for a visionary Lead Data Scientist to join a cutting-edge European project dedicated to revolutionizing energy efficiency within large-scale Edge computing ecosystems. If you are passionate about combining high-level AI with real-world environmental impact, this is your chance to lead the way.

The Mission

Your primary goal will be to develop and implement AI/ML algorithms that optimize the energy efficiency of entire edge infrastructures—ranging from hardware and software to networking, IoT devices, and operational processes.

What Will You Do?

• Sustainable Orchestration: Develop AI/ML models for dynamic energy optimization, focusing on workload scheduling, resource allocation, and load balancing for cloud-edge ecosystems.
  

• Predictive Power Management: Leverage predictive algorithms to anticipate demand and adjust power consumption in real-time, ensuring maximum efficiency without compromising performance.
  

• Innovative Research: Conduct research into state-of-the-art "Green AI" and energy-aware algorithms designed to function with minimal computational power.
  

• Cross-Functional Collaboration: Work closely with sustainability experts, product managers, and engineering teams to integrate AI/ML solutions into the project’s broader energy-saving objectives.
  

• Market Analysis: Evaluate emerging tools and products that support data collection and AI-driven sustainability orchestration.
  

• Edge & Federated Learning: Implement advanced techniques to reduce large-scale data transmission, utilizing edge processing and federated learning to minimize the energy cost of data transfers.
  

Requirements

• Technical Expertise: Proficiency in AI/ML development using Python and frameworks such as TensorFlow, PyTorch, or Keras.
  
• Analytical Precision: Strong skills in deriving actionable insights from massive datasets to drive measurable energy efficiency.
  
• Collaborative Leadership: Excellent communication skills with the ability to navigate cross-functional teams and engage with external international stakeholders.
  
• A Green Mindset: A genuine passion for sustainability and a drive to apply AI/ML techniques to reduce environmental footprints.
  
• Language Proficiency: Fluency in English (at least B2) and/or German (B2+).