Expleo

Data Scientist – Constrained Optimization

Job Locations
CH-GE-Genève
Job area
IT & Digital
Employment type
Permanent
Workplace
Hybrid

Overview

Expleo offers a unique range of integrated engineering, quality and strategic consulting services for digital transformation. At a time of unprecedented technological acceleration, we are the trusted partner of innovative companies. We help them develop a competitive advantage and improve the daily lives of millions of people. 
 
Joining Expleo Switzerland means working for 19,000 people in 30 countries:  
- Technical and human support for each project and effective career management 
- Training to develop your professional skills 
- Take part in special dedicated events 
- Join a dynamic team !

 

To support our growth in French Part Switzerland, we are looking for Geneva area a Data Scientist – Constrained Optimization consultant to join our team to develop and refine high-value models

Responsibilities

Your Responsibilities:

 

As part of a large-scale project, we are looking for a Data Scientist with a strong mathematical background and a strong interest in algorithms and constrained optimization:

  • Design and implement constrained optimization models
  • Work on the mathematical modeling of complex problems
  • Collaborate with business teams to understand real-world constraints
  • Participate in the implementation of efficient and robust algorithms
  • Document, test, and continuously improve proposed solutions

 

Desired skills

Your Profile :

  • Master Degree in applied mathematics, data science, computer science, or a related field
  • Strong knowledge of algorithms and data structures
  • Experience of 2 years (or academic training) in constrained optimization (linear, combinatorial, etc.)
  • Proficiency in Python (or other data science-related languages)
  • Experience with libraries such as Pyomo, OR-Tools, Gurobi, CPLEX is an asset
  • Fluent English (international working environment) and French
  • Very good communication skills, rigor and scientific curiosity.

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