Data Science Coordinator
Core
Build predictive models for customer lifecycle (acquisition, upsell, retention) and support business decisions with data analytics for CRM, B2C, and Marketing teams.
Role type
Data Science Coordinator
Builds
Production ML models and data solutions for BTG Pactual's business units
Domain
Banking / Customer Analytics
Deliverable
production ML models
Required skills
Python, PySpark, AWS (S3, Sagemaker, Lambda), MLOps practices, predictive modeling, data pipeline automation
Preferred skills
Business-oriented mindset, client performance focus
Technologies
AWS, Python, Pandas, PySpark, Spark
Responsibilities
Translate data into action for CRM, B2C, and Marketing teams; Create and evolve predictive models for the customer lifecycle; Support decisions with technical analysis and structured data; Develop solutions with direct business impact; Participate in the full model lifecycle from prototyping to deployment; Work with MLOps best practices for scalability and monitoring.
