Associate Data Scientist - Value and Access Strategy
Amgen (company site, opens in a new tab)2–6 yrsHyderabadOn-siteDirect career pageEst. 15–30 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and deploy AI-powered platforms to enhance commercial, contracting, and patient access strategies within US Value & Access organization.
- Build scalable AI/ML solutions integrating structured and unstructured data to support decision-making and deliver measurable business impact.
- Collaborate with senior data scientists, engineers, and business partners to transition GenAI, LLM, and ML prototypes into production systems.
Minimum Requirements
- Bachelor's or master's degree in Computer Science, AI, Data Science, Statistics, Engineering, or other STEM fields.
- 2–6 years of hands-on experience in AI/ML, data science, or software engineering roles.
- Proven experience with 2–3 real AI/ML projects involving LLM-based chatbots with RAG, AI summarization tools, or agent-based reasoning systems.
- Strong programming skills in Python, PySpark, SQL, and working knowledge of NLP fundamentals; familiarity with structured and unstructured data processing.
Ideal Candidate Profile
- Experienced in building and deploying production-grade AI systems including LLM-powered assistants and intelligent document AI in a commercial or pharmaceutical context.
- Comfortable working with cross-functional technical teams and translating business requirements into AI-driven technical solutions.
- Capable of contributing to MLOps, software engineering best practices, and scaling AI/ML infrastructure in complex environments.