Amgen - Principal Data Scientist (12-16 yrs)

Description:

Join Amgens Mission of Serving Patients. At Amgen, if you feel like youre part of something bigger, its because you are. Our shared mission - to serve patients living with serious illnesses - drives all that we do. Since 1980, weve helped pioneer the world of biotech in our fight against the worlds toughest diseases. With our focus on four therapeutic areas Oncology, Inflammation, General Medicine, and Rare Disease we reach millions of patients each year.

Principal Data Scientist:

What you will do:

We are seeking a Principal Data Scientist to join the Forecasting team, within the AI & Data organization. This role will lead the development of advanced statistical, Bayesian, causal, and machine learning models that improve forecasting capabilities and quantify uncertainty to guide strategic decision making across the company.

Key Responsibilities:

- Develop advanced statistical, Bayesian, and machine learning models to forecast demand across multiple horizons.

- Work with large, complex data sets, leveraging state of the art techniques in statistical modeling, causal inference and analytics.

- Develop high fidelity simulation and scenario evaluation capabilities.

- Own the end-to-end modeling lifecycle, including scoping, prototyping, data analysis, feature engineering, model development, deployment and monitoring.

- Architect and develop self-service forecasting tools and platforms.

- Collaborate with cross functional teams in Commercial, Operation, Finance and Technology.

- Research and evaluate emerging tools and methodologies in forecasting, data science and AI.

- Establish forecasting as an advanced, rigorous practice across the organization and upskill and mentor junior team members.

Basic Qualifications:

- Bachelors degree and 12 years of data science in enterprise environments experience OR

- Associates degree and 14 years of data science in enterprise environments experience OR

- High school diploma / GED and 16 years of data science in enterprise environments experience.

Preferred Qualifications:

- 12+ years of experience applying data science in enterprise environments with demonstrated principal-level influence.

- Deep expertise in time-series forecasting, probabilistic programming, Bayesian and predictive modeling.

- Expert understanding of Python, SQL and tools such as scikit-learn, PyMC, Pytorch, Tensorflow.

- Strong communication and story-telling skills.

- Exceptional stakeholder management.

- Experience building and scaling forecasting platforms for biotech/pharma use cases.

- Deep expertise in causal inference, Bayesian forecasting, and hierarchical or multi-level forecasting methods.

- Familiarity with ML Ops, CI/CD, and engineering best practices.

What You Can Expect Of Us:

Amgen offers a Total Rewards Plan, comprising of health and welfare plans, financial plans, work/life balance, and career development opportunities.

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