US Value & Access Insights - Associate Data Scientist
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 production-grade AI/ML systems including AI copilots, document AI, real-time decision platforms, and analytics engines impacting commercial and patient access strategies in the US Value & Access organization.
- Collaborate with data scientists, engineers, and business partners to integrate structured and unstructured data for scalable AI solutions powering decision-making and automation.
- Contribute to software engineering best practices including code reviews, MLOps, and system design for AI/ML model deployment and data pipelines.
Minimum Requirements
- Bachelor's or Master’s degree in computer science, AI, data science, statistics, engineering, or related STEM field.
- 2–6 years of hands-on experience in AI/ML, data science, or software engineering roles.
- Proficiency in Python, PySpark, SQL, data structures, algorithms, OOP, system design, and core ML techniques (regression, classification, clustering).
- Mandatory hands-on experience with 2–3 real AI/ML projects involving AI/GenAI implementations (e.g., LLM-based chatbots with RAG, AI summarization, deployed ML models or data pipelines).
Ideal Candidate Profile
- Experienced in building and deploying LLM-powered assistants and NLP pipelines for unstructured data extraction and semantic search.
- Comfortable working on end-to-end AI solutions including backend API development, dashboard creation, and collaboration in cross-functional technical teams.
- Familiar with GenAI workflows, prompt engineering, MLOps practices, and has exposure to cloud platforms and pharma-related datasets (optional but preferred).