Data Scientist - Data Modeling / analytics

India - Hyderabad JOB ID: R-240017 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Sep. 30, 2026 CATEGORY: Information Systems

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.

Role Description: As the Senior Associate Data Scientist at Amgen, you will be responsible for developing and deploying advanced machine learning models. This role will support the development of statistical, Bayesian, causal, and machine learning models that enhance forecasting capabilities and quantify uncertainty to guide decision-making across the company. The position is well suited to a curious and collaborative problem solver who is excited about applying forecasting methods, complex datasets, and modern analytical tools to build decision-support solutions that inform planning and business decision-making. Roles &

: • Analyze large, complex datasets using statistical modeling, forecasting, and analytics techniques to generate insights that support business decision-making. • Support the development of simulation and scenario-analysis capabilities to better understand the data • Contribute across the modeling lifecycle, including business problem framing, exploratory data analysis, feature engineering, model development, validation, deployment support, monitoring, and explainability. • Collaborate with senior team members to evaluate and apply new tools and methodologies in forecasting, data science, and AI to business problems. • Communicate analytical findings and model results clearly to technical and non-technical stakeholders. • Ensure models are trained with the latest data and meet the SLA expectations • Work with a global cross functional team on the AI tool’s road map • Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. • Utilize