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 fast-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 environments is preferred.
- Strong understanding of Responsible AI and model validation principles.

📌 Senior Data Scientist (Telangana)
🏢 Amgen
📍 Telangana