Data Scientist & Optimization Developer

Description

Job Summary: We are seeking a professional or recent graduate with an analytical background and interest in data science to develop analytical solutions and optimization models. Key Highlights: 1. Development of analytical solutions and optimization models. 2. Solving business problems using Data Science and mathematical logic. 3. Opportunity for growth in optimization solutions. **Data Scientist \& Optimization Developer** At PS GRUPO HUNTING, we are looking to hire a professional or recent graduate with a strong analytical foundation, interest in data science, and motivation to grow in optimization solutions applied to 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. **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 stakeholders at various levels. * Collaborate with technical and business teams to integrate solutions. **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 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 proficiency through projects, applied knowledge, or technical assessments. **Key Competencies** * Analytical thinking and problem-solving. * Autonomy in solution development. * Capacity for learning and adaptation. * Ability to communicate technical results effectively. * Results orientation. * Interest in growing within a technical environment. ***Experience or knowledge in API or backend framework development, SQL or NoSQL database management, cloud tools or deployment environments, and participation in academic, personal, or professional projects related to optimization, data science, or mathematical programming will be highly valued***. **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