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Sr Data Scientist - Forecasting

at Amgen

Hyderabad, India Senior Posted 2026-04-22

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About this role

Career Category Information Systems Job Description 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 discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.       ABOUT THE ROLE   Role Description:   Amgen is seeking a Sr. Data Scientist to develop, design and deploy AI enabled forecasting models . You will apply deep technical expertise —from data ingestion to model deployment — to scale forecasting models across R&D, Manufacturing, and Commercial for critical needs   You will manipulate large messy datasets, write high-quality code, and adapt complicated machine learning models to the problems at-hand . The Sr. Data Scientist should be well versed in moving models from development to production and have a good sense for tracking and updating model performance. Also, you will distill complicated technical work to understandable and actionable outputs for key stakeholders.   Roles & Responsibilities:     Integ ral part of a high performing team of data scientists and engineers looking to translate machine learning algorithms into effective solutions focused on forecasting   Perform exploratory and targeted data analyses using descriptive statistics and other methods to identify patterns and anomalies   Develop or lead development of high-performance forecasting algorithms , prototypes, predictive models, and proof of concepts using a cutting-edge technical stack   Design and implement analytics pipelines leveraging MLOps practices   Collaborate with data engineers on data quality assessment, data cleansing, and the development of operational data pipelines   Further build the team by contributing ideas and standard methodologies, and keeping abreast of developments in industry and academia   Communicate effectively and influence a diverse set of technical, scientific, medical, and business constituents at the functional and executive levels   Assuring compliance with regulatory, security, and privacy requirements as it relates to data assets   Share and discuss findings with team members practicing SAFe Agile delivery model   Must-Have Skills:   Proven experience working on large-scale forecasting solutions that drive measurable business outcomes   Advanced proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch , Scikit-learn)   Experience in analyzing time-series data for forecasting and trend analysis    Experience in designing, evaluating, and applying a variety of supervised and unsupervised machine learning models to drive business value   Experience with Generative AI models (e.g., GPT, DALL·E, Stable Diffusion) and their applications across domains in forecasting   Familiarity with the modern data stack: distributed computing tools (Spark, Hive, etc.), cloud computing environments, and source code control technologies ( e.g. Git)   Proficiency in state-of-the-art machine learning tools, such as deep learning frameworks, transformer models, NLP models, time series models and Bayesian models, with demonstrated and interpretable insight and impact   Experience with Databricks platform for data analytics and MLOps   Strong communication skills – capable of presenting complicated and nuanced work in a clear, concise, and understandable manner to a diverse audience   Nice -to-Have Skills:   E xperience in Biotechnology or pharma industry is a big plus   Master’s degree in computer science and / or d ata s cience    Familiarity with Agile methodologies and Scaled Agile Framework ( SAFe ) fo r project delivery   Education and Professional Certifications   Master’s degree or Bachelor’s degree in Computer Science, Business, Engineering, IT or related field 8+ Years of relevant work experience Certifications on GenAI /ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus   Soft Skills:   Initiative to explore alternate technology and approaches to solving problems    Skilled in breaking down problems, documenting problem statements, and estimating efforts    Excellent analytical and troubleshooting skills   Strong verbal and written communication skills   Ability to work effectively with global, virtual teams   High degree of initiative and self-motivation   Ability to manage multiple priorities successfully    Team-oriented, with a focus on achieving team goals   Ability to learn quickly, be organized and detail oriented   Strong presentation and public speaking skills     EQUAL OPPORTUNITY STATEMENT   Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.   We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation .       .

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