Data Scientist- Energy Intelligence Center of Excellence – CIM – Remote – Preferably from Cluj or Timisoara


The ‘Center of Excellence Analytics Energy Intelligence’ is part of our client Global Data and Analytics department, and comprises of multinational advanced analytics and artificial intelligence experts.
Our goal is to optimally leverage and orchestrate assets and customer flexibility enabling the green energy transition. We work at the intersection of physical assets, energy markets and customer solution domains. Our specialties are AI- and data-driven solutions, advanced forecasting and optimization algorithms in the areas of energy and flexibility commercialization, and smart asset management. We are ready to pioneer new technologies to boost energy sustainability, operational excellence, as well as increase our customer experience, and create new data-driven businesses.


Being part of our team, you will…

  • Develop data-driven and AI-based solutions that can bring ideas from pilot to commercially viable products
  • Distil out of huge sets of structured and unstructured data from internal systems, in
    combination with external sources, actionable insights
  • Perform explorative and ad-hoc data analyses, visualize results in an appealing manner
    and present the findings in clear statements to business partners
  • Implement batch and stream data ingesting methods including cleaning, pre-processing
    and verification of data integrity, as well as advanced machine learning models training
    and inference.
  • Program significant metrics and indicators with advanced analytical functions and
    machine learning in Spark, R and Python
  • Develop new advanced algorithms for time series predictions, condition monitoring, state change detection and asset optimization
  • Support the definition, design and implementations of domain-specific data models to fuel scalable-by-design ML/AI applications
  • Support the deployment of productive solutions together with product development, data engineers and data architects
  • Ph.D. or master degree in Computer Science, Mathematics, Physics or related technical
  • Several years working experience as data scientist
  • Extensive knowledge in statistics, machine learning (including ML model interpretability)
    and data mining
  • Track record of coding in R, Python, Spark and SQL (fluency in other programming
    languages is considered as a plus).
  • Hands-on experience on machine learning model implementation in Cloud environments
    (AWS or Azure)
  • Familiarity with the Scikit-Learn stack, TensorFlow or PyTorch
  • Knowledge of source control management systems and CI/CD flows
  • Passion for science and problem solving by working on data, paired with a strong motivation to deliver valuable solutions for business needs
  • Enjoying collaborating internationally and across cultural borders, willing to undertake
    international business travel
  • Excellent writing and communication skills, considering varying levels of details and
    matching the audience
  • Fluent in English
  • Extensive knowledge of the energy industry is considered as plus
  • Experience with Tableau or similar visualization tools is considered as a plus
  • Experience in Quantum Computing applications to optimization problems and machine
    learning is considered as a plus.