Opportunity – Data Scientist (Optimization Specialist) We are looking for a Data Scientist specializing in optimization to help solve complex business challenges by applying advanced metaheuristic techniques to find optimal solutions. About the role As a Data Scientist specializing in optimization, you will work on challenging projects that require translating complex business rules into mathematical constraints and developing robust optimization algorithms. You will collaborate with cross-functional teams to understand operational needs and bring custom optimization solutions into production. What we're looking for : • Degree in Operations Research, Applied Mathematics, Computer Science, or a related field, with 4+ years of experience in optimization roles. • Strong experience with metaheuristic techniques (Genetic Algorithms, PSO, SA) and linear optimization/solvers (Gurobi, CPLEX, Pu LP, Pyomo, OR-Tools, DEAP, Optuna). • Proficiency in Python (Pandas, Num Py, Scikit-learn, Sci Py) and translating complex operational rules into mathematical models.



• Experience in algorithm evaluation, fine-tuning, sensitivity analysis, and collaborating with delivery teams to productionize models (AWS experience is a plus). Location: Hybrid Model - Barcelona Why join this project? People first – inclusive, diverse, and international culture. Work with cutting-edge technology on global-scale products. Clear opportunities for career progression and continuous development. Collaborative teams with a strong sense of belonging. Access to learning resources and development programs. Competitive compensation. Private health insurance & benefits (according to region). Flexible working environment and hybrid model. Wellness and mental-health initiatives. Team-building activities and integral community events. Want to know more about us? Click here and discover all the details. Find out what people are saying about us on Glassdoor Reviews . We know that not every candidate will meet 100% of

📌 Data scientist optimization (Cantabria)
🏢 Capitole
📍 Cantabria