Associate Data Scientist - Value and Access Strategy
Amgen (company site, opens in a new tab)2–6 yrsHyderabadOn-siteDirect career pageEst. 18–32 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and deploy AI-powered platforms transforming commercial, contracting, and patient access strategies within the US Value & Access organization.
- Build and maintain production-grade AI systems including LLM-powered assistants, NLP pipelines for document analysis, anomaly detection models, and real-time decision platforms.
- Collaborate with senior data scientists, engineers, and business stakeholders to translate business needs into scalable AI/ML solutions and maintain best practices in MLOps and software engineering.
Minimum Requirements
- Bachelor's or master’s degree in Computer Science, AI, Data Science, Statistics, Engineering, or related STEM fields.
- 2–6 years of hands-on experience in AI/ML, data science, or software engineering roles with demonstrated AI/ML project portfolio (e.g., GitHub, publications, or production deployments).
- Strong programming skills in Python, PySpark, SQL; experience with Machine Learning techniques (Regression, Classification, Clustering) and NLP fundamentals including LLM exposure and prompt engineering.
- Mandatory hands-on experience with 2–3 real AI/ML projects involving LLM-based chatbots with RAG, AI summarization tools, agent-based systems, deployed ML models/API/web app, or data pipelines.
Ideal Candidate Profile
- Experienced in building and deploying end-to-end AI/ML solutions that integrate structured and unstructured data targeting commercial and healthcare sector challenges.
- Comfortable working on complex NLP and LLM technologies including prompt engineering, RAG pipelines, and agentic workflows within scalable AI platforms.
- Strong collaborator able to work with cross-functional global teams translating complex business needs into automated AI-driven insights and production-ready systems.