Ciencia de Datos (Científicos de Datos)
Core
Design, develop, implement, and optimize advanced Machine Learning and AI models to solve complex business problems, generate actionable insights, and enhance data-driven decision-making.
Role type
Senior Machine Learning Scientist (Production & MLOps)
Builds
Production-ready predictive and prescriptive ML models, scalable analytical solutions, and AI/LLM agent systems.
Domain
Data Science, Machine Learning, Generative AI, Cloud Data Engineering
Deliverable
production ML models
Required skills
Python (advanced), SQL (advanced), PySpark, Scikit-Learn, XGBoost, LightGBM, TensorFlow, PyTorch, Deep Learning, Statistical Analysis, Causal Inference, MLOps, Git, MLflow
Preferred skills
Generative AI, LLMs, Agent Systems, Cloud Storage (GCS, Azure Blob)
Responsibilities
Design and implement predictive/prescriptive ML algorithms; analyze large volumes of information to identify patterns; apply experimentation and causal analysis; build data transformation processes; develop modular production code; monitor experiments and model performance; collaborate with multidisciplinary teams; document models and technical solutions.
Seniority
Senior, hands-on IC
