About the job
NEORIS, now part of EPAM Systems, brings over two decades of experience as a digital partner for major organizations worldwide. With a team of more than 4,000 professionals across 11 countries, NEORIS fosters a multicultural, startup-inspired workplace focused on innovation, learning, and delivering practical solutions. The company’s mission centers on helping businesses adapt and grow through advanced technology and engineering.
Role Overview
The Mathematical Optimization Engineer will join the Barcelona office to design and implement mathematical models that drive improvements in scheduling and planning for Operations and Manufacturing. This role works closely with cross-functional teams to deliver scalable optimization solutions in real-world production settings.
Main Responsibilities
- Design, develop, and implement mathematical optimization models to improve scheduling and planning processes in Operations and Manufacturing.
- Translate complex business problems into structured mathematical models and constrained optimization tasks.
- Build, test, and deploy scalable optimization engines for production use.
- Work closely with engineering and product teams to create high-performance operations research systems at scale.
- Promote best practices in operations research, software engineering, and model validation within technical teams.
- Communicate analytical findings and optimization strategies clearly to both technical and non-technical audiences.
