Data Scientist
- Company: Amgen
- Location: India - Hyderabad
- Work mode: On-site
- Job type: Full-Time
- Posted: 2026-10-12
CAREER CATEGORY
Engineering
JOB DESCRIPTION
ABOUT THE ROLE
We are seeking a Data Scientist, Forecasting to join the Forecasting team within the AI & Data organization. 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.
This role will work cross-functionally to help build forecasting solutions that support critical business processes and contribute to Amgen’s “every patient, every time” mandate. 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.
Key Responsibilities
* Develop and refine statistical, Bayesian, and machine learning models to support demand forecasting across near-, medium-, and long-term planning horizons.
* 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 dynamics among patients, payers, providers, and market conditions.
* 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.
Basic Qualifications
* 4+ years of experience applying data science, analytics, or statistical modeling in industry, research, or enterprise environments.
* Experience with time-series forecasting, predictive modeling, or related quantitative methods.
* Proficiency in Python and SQL, with experience using tools such as scikit-learn, PyMC, PyTorch, TensorFlow, or similar data science libraries.
* Solid analytical and statistical foundation, with the ability to work with messy and complex datasets to generate actionable insights.
* Familiarity with model development workflows, including data preparation, feature engineering, evaluation, and interpretation.
* Strong communication skills, with the ability to explain technical concepts and results to a range of stakeholders.
* Strong collaboration skills and ability to work effectively in cross-functional environments.
* Intellectual curiosity and a willingness to learn, take on ambiguous problems, and grow in a fast-paced environment
Preferred Qualifications
* Experience applying machine learning, statistical modeling, or decision science methods in retail, consumer goods, supply chain, manufacturing, or similar settings.
* Exposure to causal inference, probabilistic modeling, or scenario analysis is a plus.
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