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Senior Data Scientist (Luxembourg)

Senior Data Scientist (Luxembourg)

Sogeti, part of CapgeminiSarrburg, DE
At Sogeti, we believe the best is inside every one of us.Whether you are early in your career or at the top of your game, we’ll encourage you to fulfill your potential to be better.Through our shar...Mehr anzeigenZuletzt aktualisiert: vor 25 Tagen
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Risk Modelling Data Scientist (M / F)

Risk Modelling Data Scientist (M / F)

Advanzia BankSarrburg, DE
Want to dive into the world of credit risk?.We’ve got the perfect opportunity for you! The Risk Modelling Data Scientist will have the chance to support the growth of our business in a fast-changin...Mehr anzeigenZuletzt aktualisiert: vor 17 Tagen
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Research Scientist in Quantum Communications

Research Scientist in Quantum Communications

Université du LuxembourgSarrburg, DE
Interdisciplinary Centre for Security, Reliability and Trust.University of Luxembourg is a leading international research and innovation. We play an instrumental role in Europe by fueling innovation...Mehr anzeigenZuletzt aktualisiert: vor über 30 Tagen
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Senior Data Scientist (Luxembourg)

Senior Data Scientist (Luxembourg)

Sogeti, part of CapgeminiSarrburg, DE
Vor 25 Tagen
Stellenbeschreibung

At Sogeti, we believe the best is inside every one of us. Whether you are early in your career or at the top of your game, we’ll encourage you to fulfill your potential to be better. Through our shared passion for technology, our entrepreneurial culture, and our focus on continuous learning, we’ll provide everything you need to become the best you can be.

YOUR ROLE

We are seeking a highly skilled Data Scientist with expertise in Dataiku DSS to join our team. The ideal candidate will have experience in developing and deploying machine learning models, data preprocessing, and working with Dataiku for end-to-end data science workflows.

  • Developing and deploying machine learning models and data-driven solutions using Dataiku DSS .
  • Designing and implementing data pipelines , ETL processes, and feature engineering workflows.
  • Utilizing Python, SQL, and Dataiku's visual tools to preprocess, analyze, and visualize data.
  • Automating and optimizing model deployment using Dataiku’s built-in features (APIs, automation scenarios, etc.).
  • Working with cloud environments such as AWS, Azure, or GCP to scale data processing and model deployment.

YOUR PROFILE

  • Strong understanding of statistics, predictive modeling, and machine learning algorithms.
  • Experience with ETL, feature engineering, and model deployment in production environments.
  • Experience with cloud computing (AWS, Azure, or GCP) and big data technologies (Spark, Hadoop) is a plus.
  • Master’s degree in Data Science, Computer Science, Statistics, Mathematics , or a related field + 5 years of experience in a engineering field.
  • Excellent problem-solving skills, teamwork, and communication abilities.

    • WHAT YOU’LL LOVE ABOUT WORKING HERE

    At Sogeti, we have a modern, human centric approach to promoting, assessing and ensuring future high performance. We support and guide you at every step of your career with continuous feedback and conversations. We’ll always make space to check in and discuss your growth and readiness for promotion.

    We encourage flexibility when it comes to when and where people get their work done, allowing a better work-life balance and greater empowerment . Employees work with their managers to determine an arrangement that works best for their role and personal circumstances.

    We offer access to one of the best digital learning packages in the market to improve both your soft and hard skills. Encouraging you to be curious and accountable for your skills development . Our learning offers are world class and free to every employee across the globe. Access all learning assets and curated programs from business experts, plus content from leading partners including Harvard Business Review, Coursera, Pluralsight, Udemy, Microsoft, AWS, Google and many more.

    Qualification / Technologies :

  • Strong proficiency in programming languages such as Python or R;
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn);
  • Knowledge of deep learning architectures and techniques;
  • Solid understanding of statistical concepts and methodologies;
  • Excellent problem-solving and analytical skills;
  • Strong communication skills and the ability to work collaboratively in a team.

    • Education :

  • Master's or Ph.D. in a relevant field (e.g., Computer Science, Statistics, Data Science) with 5 years of experience in machine learning field.
  • A background check within the framework PSF will be requested upon hiring (criminal record, Education degrees, diplomas & certifications).