Decision Science Professional

il y a 6 jours


Nanterre, Île-de-France Hexaly Temps plein

About Hexaly

Hexaly is a rapidly expanding software company specializing in Mathematical Optimization, also known as Operations Research or Decision Science. Our team develops Hexaly Optimizer, a high-performance solver for Routing, Scheduling, Packing, and more, as well as Hexaly Studio, an innovative low-code platform to build optimization applications in days. In addition, Hexaly delivers turnkey optimization applications through its professional services. With a strong track record of growth and profitability, the company boasts a diverse client base that includes prominent companies worldwide.

About the Role

We are currently seeking 5 Operations Research Scientists to join our tech team at Hexaly. As a key member of our team, you will be responsible for:

  • Developing new features, algorithm improvements, and fixing bugs in Hexaly Optimizer;
  • Providing dedicated support and training to Hexaly users;
  • Participating in Hexaly professional services, such as developing turnkey applications for clients.

About You

To be successful in this role, you will need:

  • A Master's degree in software engineering (university or engineering school);
  • A passion for coding and beautiful web applications;
  • An eye for detail, a commitment to quality, and a willingness to receive feedback;
  • Excellent organizational skills, with the ability to follow processes and practices carefully;
  • Excellent written and oral expression in English.

What We Offer

We offer a comprehensive package, including:

  • An annual gross salary between €42,000 and €52,000, depending on profile and experience;
  • Various benefits, such as RTT, excellent healthcare insurance, lunch, public transportation, coffee and tea, etc.

Our Recruitment Process

We use a multi-step recruitment process to ensure we find the best candidates for our team. This includes:

  • A remote interview with Julien, founder & Head of Science (30 minutes);
  • An on-site assessment with 2 Senior Optimization Scientists (1 hour);
  • A welcome breakfast with your future colleagues.


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