Optimization Developer and Data Scientist.

Description

Job Summary: We are seeking a professional or recent graduate with a strong analytical foundation and interest in data science to develop and implement business optimization solutions. Key Highlights: 1. Develops analytical solutions and optimization models using Python. 2. Applies Data Science to efficiently solve business problems. 3. Collaborates with technical and business teams. At **PS Grupo Hunting**, we seek to hire a professional or recent graduate with a solid analytical background, interest in data science, and motivation to grow in the design and implementation of optimization solutions applied to business challenges. The selected candidate will be responsible for developing analytical solutions and optimization models using **Python** and associated tools, aiming to address complex challenges through mathematical logic, data analysis, and structured thinking. *Role Objective: Develop and implement analytical and optimization models, applying Data Science techniques to efficiently, scalably, and results-orientedly solve business problems.* Key Responsibilities * Design and develop optimization models. * Build analytical solutions using Python and specialized libraries. * Analyze data and generate actionable insights. * Develop solutions targeting scheduling, programming, or operational optimization problems. * Implement and test analytical models or solutions. * Clearly communicate technical results to various stakeholders. * Collaborate with technical and business teams on solution integration. **Mandatory Technical Requirements** * Proficiency in Python for data analysis and/or optimization. * Knowledge of optimization models, though formal work experience is not strictly required. * Familiarity with Python libraries such as pandas, numpy, scipy, or similar. * Ability to solve problems using logical, analytical, and structured thinking. * Experience with scheduling, programming, or optimization problems. * General knowledge of Data Science and the model lifecycle. * Formal work experience is not strictly required if the candidate demonstrates practical mastery through projects, applied knowledge, or technical assessments. **Preferred Qualifications:** Experience or knowledge in developing APIs or backend frameworks. Knowledge of SQL or NoSQL databases. Familiarity with cloud tools or deployment environments. Participation in academic, personal, or professional projects related to optimization, data science, or mathematical programming. **Key Competencies:** Analytical thinking and problem-solving ability. Autonomy in designing and developing solutions. Capacity for learning and adapting to new challenges. Ability to clearly communicate technical results. Results orientation. Interest in growing within a technical and challenging environment. **Position Conditions** * Hybrid work mode: 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** * **Subject line: Data Scientist \& Optimization Developer** Workplace: On-site employment