PV I Analista Cientista de Dados II
Core
Developing predictive models and advanced analytics within the payments ecosystem to support risk analysis and fraud prevention.
Role type
Mid-level Machine Learning Scientist (Payments/Risk)
Builds
Production ML models, feature engineering pipelines, and analytical dashboards for credit journey and fraud prevention.
Domain
Financial services / Payments / Risk Analytics
Deliverable
production ML models | dashboards & analysis
Required skills
Advanced Python (pandas, scikit-learn, XGBoost/LightGBM), Advanced SQL (CTEs, window functions), Apache Spark/PySpark, Databricks (Notebooks, Jobs, Unity Catalog, Delta Lake), AWS (S3, IAM), Git, Time series analysis, Propensity models
Preferred skills
MLflow, Spark Declarative Pipelines, Financial data knowledge (transactions, PIX, antifraud), NLP, Computer Vision, Databricks certification
Technologies
Python, SQL, PySpark, Databricks, AWS, MLflow, Git, Delta Lake
Responsibilities
Develop and maintain classification, regression, and time-series ML models; Build and optimize feature engineering pipelines; Create exploratory analyses and analytical dashboards; Collaborate with data engineering teams on table and metric definitions; Conduct A/B experimentation and statistical hypothesis validation; Document and version models
Seniority
Mid-level, hands-on IC