Core Responsibilities

Design and develop predictive models for classification, regression, and forecasting to optimize key products. Implement models based on Graph Neural Networks and Relational Deep Learning for quality scoring of merchants. Build reusable merchant embeddings to enhance the team's model portfolio. Design robust A/B experiments and structure offline backtesting pipelines to validate models before production.

Requirements

Solid experience in Machine Learning modeling and practical application of Causal Inference methods. Applied knowledge in graph design and processing, graph embeddings, contrastive learning, and transfer learning in heterogeneous domains. Proficiency in Python and large-scale data processing with BigQuery and SQL, with the ability to design efficient training and inference pipelines. Strong statistical foundation for designing and critically analyzing A/B experiments.

Additional Information

Experience Level

Mid-Level

Job Language

Spanish

Employment Type

Full-time

Work Mode

Hybrid