Data Scientist, Digital Products at U.S. Pharmacopeia (USP)
Listed by DevShelfHub
About the Role
The U.S. Pharmacopeia (USP) is hiring a Data Scientist for Digital Products with 0-3 years of experience. This remote India role focuses on Generative AI, RAG pipelines, and building AI-powered digital product capabilities.
Join a global public health organization setting quality standards for medicines and foods worldwide.
What you'll do
- Develop Generative AI and RAG-based solutions for digital products
- Build and maintain LLM pipelines and applications
- Apply machine learning to digital product use cases
- Collaborate with product and engineering teams on AI features
- Support data science initiatives for USP digital platforms
What we're looking for
- 0-3 years of experience in data science or related field
- Python programming and machine learning fundamentals
- Interest or experience in Generative AI, RAG, and LLMs
- Strong analytical and problem-solving skills
Skills & Technologies
Required
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- Launch your data science career in GenAI and digital products at a mission-driven global health organization.
- Entry-level role (0-3 years) in GenAI and digital products
- Remote work from India
- Build RAG pipelines and LLM-based applications
- Work on AI-powered digital product capabilities
- Global public health mission and impact
- Python and machine learning fundamentals
- Exposure to enterprise GenAI development
- Collaborative digital products team
- Quality standards and healthcare domain context
- Strong foundation for AI/ML career growth
About U.S. Pharmacopeia (USP)
- Industry
- Technology
- Company Size
- 500+
- Website
- uspharmacopeiausp.com
Skip the queue
Contact the recruiter directly at U.S. Pharmacopeia (USP) and follow up personally — most applicants never do.
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Job Details
- Type
- Full time
- Level
- Mid-level
- Experience
- 0–3 years
- Location
- Remote, India
- Work Mode
- WFH
- Category
- AI / ML
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