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Capgemini

Global consulting, technology services, outsourcing

Mathematical Algorithm Engineer

Data ScienceUpdated on Nov 14
Full-timeNo salary listed

About the Job

Requirements

  • A completed degree in Mathematics, Physics, Computer Science, Computational Science, Electrical Engineering, or a comparable field is required.
  • Relevant professional experience developing, implementing, and validating mathematical algorithms in a scientific or industrial environment is required.
  • Strong knowledge of numerical linear algebra, numerical optimization methods, statistical estimation theory, and Bayesian modeling is required.
  • Strong knowledge of developing and implementing mathematical algorithms with C++ and Python is required.
  • German and English proficiency, spoken and written, is required.

Responsibilities

  • Develop mathematical models, calibration algorithms, and numerical solution methods for complex optical measurement and inspection systems.
  • Formulate and solve optimization, estimation, and inverse problems while accounting for accuracy, stability, and numerical robustness.
  • Implement, test, and optimize algorithms in C++ and Python, ensuring performance, convergence, and quality requirements are met.
  • Analyze measurement data, conduct sensitivity and uncertainty analyses, and validate simulation results against real experimental data from laboratory settings.
  • Document mathematical models, solution approaches, and results in technical specifications, white papers, and development documentation.

Desired Qualifications

  • Experience with NumPy and SciPy is desirable.
  • Experience with numerical simulations, inverse problems, signal processing, or computational imaging is desirable.

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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