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Capgemini

Global consulting, technology services, outsourcing

Data Scientist

Data ScienceUpdated on Nov 14
Full-timeGeneva, Switzerland

About the Job

Requirements

  • A Bachelor’s or Master’s degree in Industrial Engineering, complemented by a Master’s degree in Data Science.
  • Experience in an industrial environment and five years of demonstrated experience in Data Science.
  • Demonstrated practice in business analysis.
  • Knowledge of Python and Machine Learning is required; Dataiku knowledge is a plus.
  • Ability to propose and challenge established positions.
  • Strong interpersonal skills and the ability to communicate with all types of stakeholders.

Responsibilities

  • Develop data science solutions that address business needs.
  • Identify and formalize needs in collaboration with business teams and facilitate workshops.
  • Formulate specifications for Machine Learning models.
  • Promote best practices for industrializing Data Science solutions.
  • Develop Data Science prototypes and demonstrate the value of the solutions created.
  • Design and execute tests needed to put Data Science deliverables into production.
  • Support industrialization of prototyped solutions in collaboration with IT.
  • Collaborate on developing interfaces that enable wider use of Machine Learning models.
  • Support business teams in evolving toward a data-driven company.
  • Simplify and rationalize data, and propose an analysis methodology.
  • Manage several projects in parallel.

Desired Qualifications

  • Knowledge of Dataiku.

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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