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Data Scientist

Data Scientist

CREOS Luxembourg S.ALuxembourg
Il y a 18 jours
Description de poste

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Société

CREOS Luxembourg S.A

Lieu(x)

Luxembourg Postulez maintenant $( document ).ready(function() { if ( $(".offer-content").find('p : last').find('a : last').attr("href").startsWith("https : / / www.eurojob-consulting.com") ) { $(".apply-button").attr("href",$(".offer-content ul li a : first").attr("href")); } else { $(".apply-button").attr("href",$(".offer-content p : last").find('a : last').attr("href")); } }); Sauvegarder CDI Énergie

IT / Informatique

Publiée depuis plus de 4 semaines Data Scientist (M / F / N), Luxembourg

Mission

Are you passionate about data science, machine learning, and cloud technologies? Join our dynamic team and contribute to innovative AI-driven solutions that support data-driven decision-making and business transformation. You will work in an innovative environment at the heart of the energy transition, working closely with business units in grid analytics and innovation.

As a Data Scientist, you will :

  • Leverage electrical power system knowledge to develop data-driven and AI-powered solutions for power grid analytics
  • Collaborate with cross-functional teams, including business experts and data engineers in the electricity field.
  • Use JupyterLab for data exploration, model development, and prototyping of machine learning solutions.
  • Design and implement interactive dashboards and visualizations using Grafana.
  • Apply 'traditional' (such as ARIMA and SARIMA) and AI-powered (such as RNNs, LSTMs, CNNs) time series analysis techniques to forecast and analyse energy consumption, grid stability, and load demand.
  • Research and apply state-of-the-art AI techniques to solve business problems and optimize energy sector operations.
  • Ensure data quality, governance, and security within cloud-based infrastructures.

Profile

  • Degree in Engineering, Physics, Computer Science, Data Science or related fields.
  • At least 2 years of experience in machine learning and data science and analytics.
  • Proficiency in using JupyterLab or AWS Sagemaker for interactive data analysis and model development.
  • Strong proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy and Statsmodels.
  • Expertise in time series forecasting techniques, such as RNNs, LSTMs and GRUs.
  • Knowledge of Grafana (or similar tools) and experience in developing real-time dashboards.
  • Hands-on experience with SQL and NoSQL databases for data processing and analysis.
  • An understanding of big data technologies, distributed computing, and real-time processing frameworks.
  • Familiarity with MLOps practices, CI / CD, and DevOps tools.
  • Basic understanding of electricity markets, grid operations or energy analytics.
  • Strong problem-solving skills, the ability to work independently and collaboratively, and a proactive communicative mindset.
  • Fluency in English; knowledge of French or German is a plus
  • Créer une alerte emploi pour cette recherche

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