Data Scientist
Tasks
- Adhere to best practices and standards for GenAI and agentic AI
- Build unified multi agent platform for sales marketers and MSL users
- Deliver AI products with measurable business value
- Design, develop, and deploy scalable AI solutions
- Develop AI and GenAI transformation for market access and payer strategies
- Develop autonomous agents for omnichannel engagement
- Develop conversational AI for talk to data
- Enhance patient journeys with personalized support solutions
- Ensure AI solutions follow responsible AI framework
- Influence AI platform and data foundation strategies
- Mentor and coach junior data scientists and interns
- Shape digital commercial AI strategy
- Update solutions with evolving GenAI and agentic AI best practices
Perks/Benefits
Skills/Tech-stack
API Integration | AWS | Agentic AI | Azure | Compliance | Ethics | Fuzzy string matching | GenAI | Google Cloud | Langchain | Language Processing | Machine Learning | Natural Language | Natural Language Processing | Orchestration | Pinecone | Prompt engineering | Python | RAG | REST APIs | Regex | Responsible AI | Retrieval-Augmented Generation | Snowflake | String Matching | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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