As a Senior Data Scientist, you will build and model digital product and platforms that bring Amgens AI/ML and GenAI solutions to life.

This rolehas tocollaborate with Amgens Technical Architect, Product Manager, UX designers, and Back-end engineers to design secure, scalable, and user-centric products that accelerate discovery, manufacturing, and commercial analytics, corporate functions products

Key Responsibilities
Strong experiencewithstatistics and machine learning, including deep learning, natural language processing (NLP) and, experience in buildingcloud-scale systems and working with open-source stacks for data
Experimentwith large language models (LLM), Artificial intelligence (AI) for code or related fields, Generative AI,Foundational Models, Supervised and UnsupervisedLearning
Collaborate with cross-functional teams to understand the requirement and design solutions that meet business needs. Also withData Architects, Business SMEs, and Technical Architect to design and developto meet rapid-paced business needs.
Explore current tools and technologies that will helprapid development of solutions
Participate in sprint planning meetings and provide estimations on technical implementation
Embed responsible-AI and security-by-design controls





Required Qualifications
512 years of experience inData Science(eg: managing structured and unstructured data, applying statisticaltechniques and reporting results)
Doctorate or Master''s or Bachelor''s in Computer Science, Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science or a related field
Leverage cloud platforms (AWS preferred) to build scalable and efficient solutions
Strong background in Deep Learning, Machine Learning, NLP, Data Mining.
Excellent communication and stakeholder management skills.

Preferred Skills
Experience in Generative AI, Foundational Models, LLM''s,Feature Engineering,Selection Extraction, BI Automation, Predictive Modelling, Data Visualization, CNN,RNN, GNN, Transformers, Exploratory Data Analysis
Familiarity with Python packages (Pytorch, TensorFlow, Hugging FaceScikit-learn, Pandas, NumPy, Matplotlib, Cloud Vision API, RAG, TensorBoard, OpenCV,NLTK)), programming languages( C, C++, Java,CUDA,SQL,NoSQL, PHP, HTML,JS, CSS etc.)
Prior exposure to pharma / life sciences AI settings is preferred.
Strong understanding of Responsible AI and model validation principles.

📌 Senior Data Scientist Telangana
🏢 AMGEN
📍 Telangana