Team Lead, Decision Science

Tasks

• Build credit fraud marketing collections and dynamic pricing models
• Collaborate with Data Warehouse team
• Deploy and productionize machine learning models
• Develop machine learning scoring models
• Ensure data availability reliability and quality
• Integrate external AI services
• Lead data science team
• Maintain project documentation and standards
• Manage data pipelines and feature store
• Manage git Jira and Confluence
• Manage stakeholder expectations
• Monitor model stability and quality
• Prioritize score modeling backlog
• Recalibrate rebuild and improve models
• Recruit train and improve team performance
• Run Agile Scrum rituals
• Share knowledge and support handover
• Support data source integrations

Perks/Benefits

• N/A

Skills/Tech-stack

Agile | Amazon Web Services | Boosting | Classification | Cloud Computing | Confluence | Data Engineering | Data Pipelines | Data Quality | Data Visualization | Excel | Feature Store | Git | Grafana | Graph Models | Jira | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Deployment | Natural Language | Natural Language Processing | Neural Networks | Power BI | Python | Ranking | Regression | Risk Analytics | SQL | Scrum | Tableau | Web Services