Operations Research Scientist

Hexaly is a fast-growing software company in Mathematical Optimization, also known as Operations Research or Decision Science. The team develops Hexaly Optimizer, the fastest solver for Routing, Scheduling, Packing, and more, and Hexaly Studio, an innovative low-code platform to build optimization applications in days. In addition, Hexaly delivers turnkey optimization applications through its professional services. In solid growth and profitability (+32% in 2022, +23% in 2023, +24% in 2024), the company counts among its customers the most prominent companies worldwide like Amazon, FedEx, Starbucks, Airbus, Bosch, Sony, Renault, Kirin, Shell, TotalEnergies, Repsol, Publicis, JCDecaux, Softbank, and many others.

We currently have 5 Operations Research Scientists positions open at Hexaly.

Your job

You are part of the Hexaly tech team. Daily, you:

• Develop new features, algorithm improvements, and fix bugs in Hexaly Optimizer;
• Provide Hexaly users with dedicated support and training;
• Participate in Hexaly professional services, such as developing turnkey applications for clients.

Your profile

• You have a Master's degree in Operations Research, Computer Science, or Applied Mathematics (university or engineering school);
• You love algorithms and coding;
• You have an eye for detail, you like a job well done, and you don't fear code reviews;
• You are very organized, can follow processes and practices carefully;
• You can listen and handle direct feedback on all that you do;
• You have a high degree of commitment to work and are not afraid of change;
• You have excellent written and oral expression in English.

In the first weeks, we will coach you intensively to improve your knowledge of Hexaly's products and acquire Hexaly's software development best practices.

Your perks and benefits

Annual gross salary between €42,000 and €52,000, depending on profile and experience, plus various advantages (RTT, excellent healthcare insurance, lunch, public transportation, coffee and tea, etc.).

Recruitment process

• Remote interview with Julien, founder & Head of Science (30 minutes);
• On-site assessment with 2 Senior Optimization Scientists (1 hour);
• Welcome among us! A welcome breakfast with your future colleagues awaits you :-)