# Data Scientist at MAG Energy Solutions **Full time.** R&D for Machine Learning (ML) solutions on temporal and ramified data. - Complete ML pipeline development (from database to prediction) - Mathematical, statistical and algorithmic modeling for ML (Supervised and unsupervised learning) Models and theories applied or reviewed: - Neural networks - Custom attention mechanism - Probabilistic Bayesian Graphs - 2-dimensional Kernel Density Estimator - SARIMAX *Languages and tech stack*: **Python**, **Julia**, **SQL**, SciPy, NumPy, Pandas