Senior Data Scientist
Requirements at a glance
Senior Data Scientist at Amgen is a role based in India - Hyderabad. The posting mentions 6+ years of experience and a bachelor's degree. It does not mention visa sponsorship. Key skills include Python, Java, C++, and C. Applications are submitted through Workday.
- Experience
- 6+ years (mentioned)
- Education
- Bachelor's degree (mentioned)
- Visa sponsorship
- Not mentioned in the posting
- Application platform
- Workday
Skills in this posting
- Python
- Java
- C++
- C
- PHP
- SQL
- AWS
- Machine learning
- Deep learning
- Generative AI
- PyTorch
- TensorFlow
- pandas
Extracted automatically from the job description. Confirm details in the full posting below.
Career Category
Information SystemsJob 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
- 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 and Causal AI
- 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.)
Required Qualifications
- 6–12 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
- Prior exposure to pharma / life sciences AI environments is preferred.
- Strong understanding of Responsible AI and model validation principles.