Summary: This role involves designing, developing, and implementing mathematical optimization models for scheduling and planning solutions in operations and manufacturing environments. Highlights: 1. Design and implement mathematical optimization models 2. Collaborate with engineering and product teams 3. Promote best practices in operations research and software engineering At NEORIS, now part of EPAM Systems, we are a Digital Accelerator that helps companies step into the future. With more than 20 years of experience as Digital Partners to some of the world’s leading organizations, we operate with a multicultural, startup\-driven culture that fosters innovation, continuous learning, and the delivery of high\-impact solutions. We are more than 4,000 professionals across 11 countries, committed to transforming business through technology and advanced engineering. ### **Key Responsibilities:** * Design, develop, and implement mathematical optimization models for scheduling and planning solutions in Operations and Manufacturing environments. * Translate complex business challenges into structured mathematical modelling and constrained optimization problems. * Build, test, and deploy scalable optimization engines into production environments. * Collaborate with engineering and product teams to deliver robust, high\-performance OR\-based systems at scale. * Promote best practices in operations research, software engineering, and model validation across technical teams. * Communicate analytical findings and optimization strategies to both technical and non\-technical stakeholders. ### **Requirements:** * Bachelor’s or Master’s degree in Operations Research, Computer Science, Mathematics, Engineering, or related field. * Minimum 3 years of hands\-on experience in constrained optimization and mathematical modelling in industry. * Proven experience with optimization solvers such as Gurobi, CPLEX, LocalSolver, or Google OR\-Tools. * Strong programming skills in Python. * Experience deploying optimization applications to production environments with real\-world users. * Solid understanding of software development practices (CI/CD, automated testing, version control, branching strategies). * Ability to work with loosely defined requirements and transform them into well\-structured optimization models. * Advanced English proficiency (spoken and written). * Experience in Healthcare or Financial services domains. * Knowledge of large\-scale distributed systems or cloud\-based architectures. * Experience designing analytical engines for enterprise\-scale environments. * Postgraduate studies or certifications related to Operations Research, Optimization, or Advanced Analytics. ### **What do we offer?** * A career plan where you can choose your path: technical specialization or management * Social benefits * Continuous training * Flexible working hours and work\-life balance. \#LI\-MM4