Key Responsibilities:
Developing and Delivering Data Science Solutions (40%)
- Design and implement advanced analytics solutions on quantitative and text data using AI, ML, NLP, and Deep Learning techniques
- Create proof-of-concepts and translate them into production solutions
- Develop compelling visualizations for stakeholders to consume predictions and insights
Stakeholder Management (30%)
- Engage with Risk SMEs, Managers, and stakeholders to understand business problems and translate them into analytics solutions
- Ensure smooth execution, delivery, and implementation of models and tools
Adoption of Cloud-enabled Data Science Solutions (20%)
- Build sandbox analytics environments using Snowflake, AWS, Adobe, Salesforce
- Deploy solutions in production adhering to best practices for Model Explainability, MLOps, Feature Stores, Model Management, and Responsible AI
Collaboration and Ownership (10%)
- Share knowledge, best practices, and mentor team members in deep learning and ML methodologies
- Take independent ownership of projects and initiatives with minimal support
