Senior Data Scientist
At a glance
Senior Data Science role at Amgen. Hyderabad · full-time.
Pay not stated Data Scientist salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and model digital products that put AI, machine learning and generative AI solutions into use
- Work with architects, product, design and engineering teams to shape secure products for discovery, manufacturing and commercial analytics
- Turn business needs into technical solutions with data architects and subject matter experts
- Test emerging tools, estimate implementation work during sprint planning, and build in responsible AI and security controls
What you bring
- You have six to twelve years of data science experience, including handling structured and unstructured data and reporting findings
- You hold a bachelor's, master's or doctoral degree in a listed quantitative or computing field, or a related discipline
- You bring strong grounding in machine learning, deep learning, natural language processing and data mining
- You can use cloud platforms such as AWS to build scalable solutions
Who this fits
This senior role suits a data scientist who can combine statistical and machine learning skills with cloud-scale product development. You’ll work across technical, product, design and business teams. Prior exposure to AI work in pharma or life sciences is preferred.
From the employer
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.
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