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Capgemini

Global consulting, technology services, outsourcing

Senior Data Scientist - AI & Optimization, Retail

Applied Machine LearningUpdated on Nov 14
Full-timeMadrid, SpainNo salary listed

About the Job

Requirements

  • More than 7 years of relevant experience; equivalent experience will also be considered.
  • A university degree in a quantitative field at Bachelor's or Master's level, or equivalent practical experience.
  • Proficiency in Python and broad knowledge of mathematical optimization and machine-learning methodologies, including supervised and unsupervised learning and forecasting.
  • Ability to determine when different analytical and artificial intelligence approaches are appropriate.
  • Ability to translate complex business challenges into well-defined analytical and technical problems.
  • Ability to develop robust, reliable, and maintainable solutions while maintaining high coding and technical-quality standards.
  • Ability to solve problems from first principles and adapt to new situations.
  • Ability to break unfamiliar problems down to their fundamentals rather than rely on predefined templates.
  • Comfort working with ambiguous and changing requirements and evolving project scope.

Responsibilities

  • Design, build, and implement production-grade solutions for store design and transformation from concept through delivery.
  • Address unconventional problems using suitable combinations of optimization, supervised and unsupervised machine learning, and generative or agentic artificial intelligence.
  • Make technical decisions in close collaboration with the project team, selecting an appropriate analytical approach for each scenario.
  • Work closely with business stakeholders, product managers, and designers to clarify requirements, test approaches, and communicate progress, trade-offs, and results.
  • Collaborate with the data engineering team to ensure solutions can be integrated, operationalized, and maintained effectively.

Desired Qualifications

  • Experience with production-grade machine learning and modern MLOps practices, including continuous integration and continuous delivery (CI/CD) and MLflow.
  • Experience with infrastructure as code or Terraform.
  • Experience with generative or agentic artificial intelligence.
  • Experience with Google Cloud Platform (GCP) and/or Databricks.
  • Experience with spatial analytics, geospatial methods, or other use cases related to physical space.

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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