Data Scientist Pleno (Crédito)
Core
Build and evolve Asaas' predictive credit intelligence, ensuring solutions scale for high-volume transactions and drive measurable business impact.
Role type
Mid-level Machine Learning Engineer (Credit Risk)
Builds
Production credit risk models, AI agents for data exploration, and credit product features
Domain
Fintech / Credit Risk / Machine Learning
Deliverable
production ML models | product features
Required skills
Python, SQL, Spark, Machine Learning, Statistical Inference, Credit Risk Modeling, Model Deployment & Monitoring, Business Acumen, Git
Preferred skills
Databricks (Model Serving, Unity Catalog, Genie Spaces), MLOps (MLFlow, Kedro), Causal Inference, AWS, A/B Testing
Technologies
Python, SQL, Spark, Databricks, MLFlow, Kedro, AWS
Responsibilities
Lead end-to-end data science projects from problem definition to production delivery; Manage the full lifecycle of ML models including experimentation, validation, and monitoring for data/concept drift; Develop and maintain AI agents to assist product and business teams; Collaborate with Credit, Product, and Operations teams to translate metrics into strategies; Identify patterns and insights to improve credit operations efficiency.
Seniority
Mid-level, hands-on IC