Principal Data Scientist

<h2><b>Career Category</b></h2>Information Systems<h2></h2><h2><b>Job Description</b></h2><p>As a Principal Data Scientist, you will build and model digital product and platforms that bring Amgen’s AI/ML and GenAI solutions to life.</p><p><br />This role has to collaborate with Amgen’s 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</p><p><br /><b>Key Responsibilities</b></p><ul><li>Strong experience with statistics and machine learning, including deep learning, natural language processing (NLP) and, experience in building cloud-scale systems and working with open-source stacks for data</li><li>Experiment with large language models (LLM), Artificial intelligence (AI) for code or related fields, Generative AI, Foundational Models, Supervised and Unsupervised Learning</li><li>Collaborate with cross-functional teams to understand the requirement and design solutions that meet business needs. Also with Data Architects, Business SMEs, and Technical Architect to design and develop  to meet fast-paced business needs.</li><li>Explore new tools and technologies that will help rapid development of solutions</li><li>Participate in sprint planning meetings and provide estimations on technical implementation </li><li>Embed responsible-AI and security-by-design controls</li></ul><p><br /><b>Required Qualifications</b></p><ul><li>6 –12 years of experience in Data Science  (eg: managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>Doctorate in Computer Science, Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science or a related field </li><li>Leverage cloud platforms (AWS preferred) to build scalable and efficient solutions </li><li>Strong background in Deep Learning, Machine Learning, NLP, Data Mining.</li><li>Excellent communication and stakeholder management skills.</li></ul><p><br /><b>Preferred Skills</b></p><ul><li>Experience in Generative AI, Foundational Models, LLM&#39;s, Feature Engineering, Selection &amp; Extraction, BI &amp; Automation, Predictive Modelling, Data Visualization, CNN, RNN, GNN, Transformers, Exploratory Data Analysis</li><li>Familiarity with Python packages (Pytorch, TensorFlow, Hugging FaceScikit-learn, Pandas, NumPy, Matplotlib, Cloud Vision API, RAG, TensorBoard, OpenCV, NLTK)), programming languages ( C, C&#43;&#43;, Java, CUDA,SQL, NoSQL, PHP, HTML, JS, CSS etc.)</li><li>Prior exposure to pharma / life sciences AI environments is preferred.</li><li>Strong understanding of Responsible AI and model validation principles.</li></ul><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p>.