Data Scientist & Optimization Developer

Description

Job Summary: We are seeking a professional with a strong analytical foundation and logical-mathematical thinking to develop optimization solutions for real-world business problems. Key Highlights: 1. Development and implementation of mathematical optimization models. 2. Solving complex problems using exact and heuristic techniques. 3. Collaborating on the integration of analytical solutions with existing systems. Data Scientist \& Optimization Developer At PS GRUPO HUNTING, we seek to incorporate a professional with a solid analytical background, logical-mathematical thinking, and motivation to grow in optimization solutions applied to real-world business problems. The ideal candidate must be oriented toward solving complex problems related to assignment, planning, scheduling, or operational optimization using mathematical models, exact methods, or heuristics. This role focuses on designing and implementing optimization solutions based on mathematical programming and algorithms. Role Objective Develop and implement mathematical optimization models to solve highly complex business problems, applying techniques such as linear, integer, nonlinear programming, heuristics, or metaheuristics—with emphasis on efficiency, scalability, and operational applicability. Key Responsibilities * Design, formulate, and implement mathematical optimization models. * Solve assignment, planning, scheduling, routing, or operational optimization problems. * Apply exact and/or heuristic techniques to solve complex problems. * Build solutions using Python and specialized optimization libraries. * Analyze input data, constraints, decision variables, and objective functions. * Evaluate feasibility, performance, and scalability of developed solutions. * Implement, test, and fine-tune optimization models in real or simulated environments. * Clearly communicate technical results to both technical and business teams. * Collaborate on integrating analytical solutions with existing systems or processes. Mandatory Technical Requirements * Proficiency in Python for solving analytical and/or optimization problems. * Practical knowledge of linear programming, integer programming, mixed-integer programming, or nonlinear programming. * Ability to formulate optimization problems: decision variables, constraints, and objective function. * Academic, personal, or professional experience in assignment, planning, scheduling, routing, or operational optimization problems. * Proficiency with optimization libraries or tools such as PuLP, Pyomo, OR\-Tools, scipy.optimize, Gurobi, CPLEX, or similar. * Ability to solve problems using logical, mathematical, analytical, and structured thinking. * Understanding of exact methods, heuristics, or metaheuristics for tackling complex problems. Preferred Qualifications * Experience developing solutions for combinatorial problems. * Knowledge of heuristic or metaheuristic algorithms. * Experience developing APIs or backend frameworks. * Knowledge of SQL or NoSQL databases. * Familiarity with cloud tools or deployment environments. * Experience integrating optimization models with production systems. * Participation in academic, personal, or professional projects related to mathematical programming, optimization, or operations research. Key Competencies * Analytical and mathematical thinking. * Strong ability to solve complex problems. * Autonomy in developing technical solutions. * Capacity for learning and adaptation. * Clear communication of technical results. * Results-oriented mindset. * Interest in growing within a technically rigorous, business-applied environment. Position Conditions * Hybrid work model: 1 day per week on-site. * Working hours: Monday to Friday, 09:00–18:00 hrs. * Net salary: $1\.400\.000 CLP. Application Send CV to: seleccion@grupops.cl Indicate in the subject line: Data Scientist \& Optimization Developer Workplace: On-site employment