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Capgemini

Global consulting, technology services, outsourcing

Data Analysis Engineer

Data ScienceUpdated on Nov 14
Full-timeNo salary listed

About the Job

Requirements

  • A completed university degree in Mathematics, Computer Science, Data Science, Physics, Computational Science, or a comparable field is required.
  • Relevant professional experience developing and optimizing algorithms, statistical models, or data analysis tools in a scientific or industrial environment is required.
  • Strong knowledge of statistical modeling, machine learning, data analysis, and numerical linear algebra is required.
  • Strong knowledge of Python, NumPy, SciPy, and Matplotlib is required.
  • Fluent spoken and written German and English are required.

Responsibilities

  • Develop statistical models, calibration algorithms, and data analysis methods for complex measurement and validation processes.
  • Design, implement, and optimize scalable data analysis pipelines for high-performance computing environments.
  • Develop automated validation and test tools for algorithms, measurement systems, and calibration processes.
  • Analyze, visualize, and evaluate large datasets and derive insights to optimize algorithms and systems.
  • Document results, conduct benchmark and validation studies, and present technical findings to interdisciplinary stakeholders.

Desired Qualifications

  • Experience with scalable data analysis pipelines, high-performance computing environments, automated validation methods, or scientific simulation and optimization tools is advantageous.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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