Associate Director, Enterprise Data Science
Tasks
- Apply FAIR principles
- Build agentic AI applications
- Build production ready code
- Build recommender systems
- Build reusable frameworks and scalable AI platforms
- Collaborate with stakeholders on AI products
- Deliver MLOps solutions
- Develop and deploy analytical models
- Drive scalable machine learning capabilities
- Ensure product reliability and scalability
- Evaluate emerging AI technologies
- Facilitate problem framing sessions
- Implement predictive machine learning models
- Lead commercial AI use cases
- Manage data science initiatives
- Manage digital product lifecycle
- Mentor and develop data science talent
- Operationalize machine learning models with engineering
- Scale proof of concept to production
- Support change management and user adoption
- Track and communicate initiative progress
- Translate business challenges to data science opportunities
Perks/Benefits
Skills/Tech-stack
AWS | Agentic AI | CRM | DBT | Data Engineering | Data Governance | Feature Engineering | Generative AI | HIPAA | Healthcare Data | MLOps | Machine Learning | Machine Learning Pipelines | Predictive Modeling | Python | Recommender Systems | SQL | Snowflake | Statistical Analysis
Education
Roles
Associate | Associate Director | Data Scientist | Director | Scientist
Regions
Countries
States
Cities
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