We are seeking a Senior Data Scientist, Forecasting to join the Forecasting team, within the AI & Data organization. This role will develop advanced statistical, Bayesian, causal, and machine learning models that improve forecasting capabilities and quantify uncertainty to guide strategic decision-making across the company.
This senior member of the team will work cross-functionally to build forecasting solutions that support critical business processes and help Amgen deliver on its “every patient, every time” mandate. The role is particularly well suited to a creative problem solver who is excited about applying state-of-the-art forecasting methods, complex high-dimensional data sources, and modern analytical tooling to build decision-support solutions that inform multi-horizon planning and business decision-making.
Key Responsibilities
Develop advanced statistical, Bayesian, and machine learning models to forecast demand across multiple horizons, including near-, medium-, and long-term planning horizons.
Work with large, complex datasets, leveraging state-of-the-art techniques in statistical modeling, causal inference, and analytics to generate insights that support strategic decision-making across the business
Develop simulation and scenario-analysis capabilities to better understand the complex dynamics among patients, payers, providers, and market conditions
Execute across the end-to-end modeling lifecycle, including scoping, prototyping, data analysis, feature engineering, model development, deployment and, monitoring as well as explainability.
Collaborate with cross functional teams in Commercial, Operation, Finance and Technology to ensure forecasts are well integrated into critical business workflows
Research and evaluate emerging tools and methodologies in forecasting, data science and AI for potential application to business probelms
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8+ years of experience applying data science in enterprise environments with demonstrated track record of delivering business value
Expertise in time-series forecasts, probabilistic programming, Bayesian and predictive modeling
Strong understanding of Python, SQL and tools such as scikit-learn, PyMC, Pytorch, Tensorflow and other data science libraries.
Strong analytical and statistical intuition with ability to generate novel insights from messy, complex datasets via techniques such as latent variable modeling, high dimensional clustering, causal inference and quasi experimental methods
Strong communication and story-telling skills, with demonstrated ability to translate technical concepts to non-technical stakeholders.
Strong collaboration skills and ability to work effectively cross functionally
An intellectually curious self-starter who can take ambiguous problems and build solutions from the ground up
Preferred Qualifications
Experience building and developing forecasting models for biotech/pharma use cases with knowledge of healthcare commercial concepts such as payer/provider dynamics, formulary access, and coverage.
Experience leveraging machine learning, statistical modeling, and decision science methods in retail, consumer goods, supply chain or manufacturing applications
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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