**Objective:** Creation, calibration, and optimization of analytical models. Transforming data into valuable and actionable information to drive decision-making, optimize operations, and solve complex problems—extracting insights from large datasets, identifying patterns, building predictive models, and effectively communicating findings. **Languages:** Spanish and intermediate technical English. **Required Knowledge and Experience:** · Mathematics and statistics. · Advanced Python · Information security. · Data visualization · Knowledge of IP. · Proficiency in analytical and modeling libraries (pandas, numpy, scipy, scikit\-learn). · Solid foundation to understand and calibrate physical models (regression, algorithm optimization). · Tools such as Streamlit, Plotly, Dash, or PowerBI. · Basic understanding of models. **Skills:** · Forecasting · Planning · Organization · Teamwork. · Assertive communication · Process- and results-oriented · Proactive · Reliability and integrity · Honesty · Service attitude **Values:** · Integrity, honesty, and discretion · Loyalty and respect · Responsibility, reliability, and discipline · Commitment and service vocation · Enthusiasm · Getting things done · Social and ecological awareness **Responsibilities:** \- Develop, test, and calibrate drilling model equations against historical data (timely). \- Design and maintain the data pipeline and integrate it with models for simulation. \- Create visualization interfaces (dashboards) and analytical reports for timely and post\-drilling analysis, seeking improvement patterns. \- Apply filters and algorithms to clean real\-time data, identifying spikes or noise that could contaminate models. Employment type: Full\-time Salary: $20,000\.00 \- $28,000\.00 per month Benefits: * Company parking * Free parking * Medical expense insurance * Major medical expense insurance * Vision insurance * Dental insurance * Life insurance * Free uniforms * Additional vacation days or paid leave * Grocery vouchers Work location: On\-site employment