Senior Data Scientist at Amigen

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

19 Jun, 26

Salary

0.0

Posted On

21 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistics, Machine Learning, Deep Learning, Natural Language Processing, Cloud-Scale Systems, Generative Ai, Large Language Models, Supervised Learning, Unsupervised Learning, Data Architects, Responsible-Ai, Security-By-Design, Cloud Platforms, Data Mining, Stakeholder Management, Python

Industry

Biotechnology Research

Description

Career Category Information Systems 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. . Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology. Amgen focuses on areas of high unmet medical need and leverages its biologics manufacturing expertise to strive for solutions that improve health outcomes and dramatically improve people's lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world's leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential. For more information, visit www.amgen.com and follow us on www.twitter.com/amgen

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Responsibilities

The Senior Data Scientist will be responsible for building and modeling digital products and platforms that implement Amgen’s AI/ML and Generative AI solutions. This involves collaborating with cross-functional teams to design secure, scalable, and user-centric products accelerating discovery, manufacturing, and commercial analytics.