Bravos Energía is a Mexico-based company driving innovation in the electricity markets of Mexico and the U.S., combining data, technology, and creativity to build a smarter and more sustainable energy future. We are currently looking for a talented **Load Forecasting Data Science** to join our team and help us develop advanced forecasting models for electricity demand.
**Main Responsibilities**
- Design and maintain algorithms to estimate bus-level load using state estimator data.
- Review and analyze historical load patterns to identify behavioral trends and anomalies.
- Develop bus-level load forecasting systems leveraging historical patterns.
- Build and maintain processes to incorporate new loads and adapt to changing load profiles.
- Validate and benchmark model outputs against observed data and market results.
- Work closely with **data engineers and software developers** to implement scalable, automated data pipelines.
- Collaborate with **traders and system analysts** to integrate load forecasts into broader congestion and price forecasting frameworks.
**Essential Tools & Skills**
- **Statistics & Econometrics**: Multiple & logistic regression, hypothesis testing, ANOVA, Multicollinearity, variable selection, PCA.
- **Time Series / Statistical Modeling**: SARIMA / SARIMAX.
- **Machine Learning**: Scikit-learn, PyTorch / TensorFlow; Random Forest, Gradient Boosting, KMeans.
- **Data Manipulation & Visualization**: Pandas / Polars, NumPy, SciPy, Statsmodels, Plotly.
- **Databases**: SQL and database management.
**Nice to have**:
- Deep learning for time series: RNN, LSTM.
- Visualization libraries: Matplotlib, Seaborn.
Tipo de puesto: Tiempo completo, Por tiempo indeterminado
Sueldo: $40,000.00 - $45,000.00 al mes
Beneficios:
- Opción a contrato indefinido
- Protegido de gastos médicos mayores
- Trabajo desde casa
Pregunta(s) de postulación:
- Do you have experience with ML?
Idioma:
- Inglés (Obligatorio)
Lugar de trabajo: remoto híbrido en 06100, Hipódromo, CDMX