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About
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 utilizing 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, monitoring, and explainability.
Collaborate with cross‑functional teams in Commercial, Operations, 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 problems.
Basic Qualifications
Doctorate degree
Master’s degree and 2 years of applying data science in enterprise environments experience
Bachelor’s degree and 4 years of applying data science in enterprise environments experience
Associate’s degree and 8 years of applying data science in enterprise environments experience
High school diploma / GED and 10 years of applying data science in enterprise environments experience
Preferred Qualifications
6+ years of experience applying data science in enterprise environments with a 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 the ability to generate novel insights from messy, complex datasets using techniques such as latent variable modeling, high‑dimensional clustering, and causal inference.
Strong communication and story‑telling skills, with demonstrated ability to translate technical concepts to non‑technical stakeholders.
Strong collaboration skills and the ability to work effectively cross‑functionally.
An intellectually curious self‑starter who can take ambiguous problems and build solutions from the ground up.
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.
What You Can Expect Of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well‑being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.
A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts.
A discretionary annual bonus program, or for field sales representatives, a sales‑based incentive plan.
Stock‑based long‑term incentives.
Award‑winning time‑off plans.
Flexible work models, including remote and hybrid work arrangements, where possible.
Amgen is an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided 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 accommodation.
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Languages
- English
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