Senior Data Scientist
Location
Hyderabad, Telangana, India
Job Type
Full-Time
Experience Level
Mid-Level
Salary Range
Not disclosed
Job Description
As a Senior Data Scientist, you will build and model digital product and platforms that bring Amgen’s AI/ML and GenAI solutions to life. 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 Key Responsibilities 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 Experiment with large language models (LLM), Artificial intelligence (AI) for code or related fields, Generative AI, Foundational Models, Supervised and Unsupervised Learning 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. Explore new tools and technologies that will help rapid development of solutions Participate in sprint planning meetings and provide estimations on technical implementation Embed responsible-AI and security-by-design controls Required Qualifications 5–12 years of experience in Data Science (eg: managing structured and unstructured data, applying statistical techniques 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.
About Amgen
Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We helped establish the biotechnology industry, and we remain on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. Our investment in research and development has yielded a robust pipeline that builds on our existing portfolio of medicines to treat cancer, heart disease, osteoporosis, inflammatory diseases and rare diseases. Amgen is one of 30 companies comprising the Dow Jones Industrial Average®, and part of the Nasdaq-100 Index®. In 2024, Amgen was named one of the “World’s Most Innovative Companies” by Fast Company and one of “America’s Best Large Employers” by Forbes. For more information, visit Amgen.com and follow us on X, LinkedIn, Instagram, TikTok, YouTube and Threads. 🔗 Community Guidelines: https://wwwext.amgen.com/community-guidelines 🔗Global Privacy Statement Directory: www.amgen.com/dp Special Advisory: Please be cautious of scam recruitment offers claiming to be from Amgen. Such scams may come from various sources, including fake websites and/or unsolicited emails and seek to obtain personal data or payment from victims by offering jobs that do not exist. Please be advised that Amgen would never ask for payment to progress a job application. When in doubt, please check to see if the position in question is posted on this website before applying. Additionally, please report any suspicious recruiting activity to https://complaint.ic3.gov/ and thank you for your assistance.
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