Data Scientist & Optimization Developer

Description

Job Summary: We are seeking a professional or recent graduate with a strong analytical foundation and interest in data science to develop analytical solutions and optimization models applying mathematical logic. Key Highlights: 1. Develop analytical solutions and optimization models using Python 2. Solve business problems using mathematical logic and data analysis 3. Collaborate with technical and business teams Data Scientist \& Optimization Developer At PS GRUPO HUNTING, we are looking to hire a professional or recent graduate with a strong analytical background, interest in data science, and motivation to grow in applied optimization solutions for business problems. The selected candidate will be responsible for developing analytical solutions and optimization models using Python and associated tools 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. Main Responsibilities * Design and develop optimization models. * Build analytical solutions using Python and specialized libraries. * Analyze data and generate actionable insights. * Develop solutions targeting scheduling, planning, or operational optimization problems. * Implement and test analytical models or solutions. * Clearly communicate technical results to diverse audiences. * 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. * Proficiency in Python libraries such as pandas, numpy, scipy, or similar. * Ability to solve problems using logical, analytical, and structured thinking. * Experience with scheduling, planning, 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 API or backend framework development. * Knowledge of SQL or NoSQL databases. * Familiarity with cloud tools or deployment environments. * Experience in academic, personal, or professional projects related to optimization, data science, or mathematical programming. Key Competencies * Analytical thinking and problem-solving. * Autonomy in solution development. * Capacity for learning and adaptation. * Ability to communicate technical results. * Results orientation. * Interest in professional growth within a technical environment. Position Conditions * Hybrid work mode: 1 day per week onsite. * 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: Onsite employment