Sr Data Scientist

Join Amgens Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission to serve patients living with serious illnesses drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas Oncology, Inflammation, General Medicine, and Rare Disease we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity‑related conditions.

As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller, happier lives.

Our award‑winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

• Flexible Commuter role to Deerfield, IL site. You will work on-site a minimum of 2 days a week.

Let’s do this. Let’s change the world. In this vital role as part of the Data Sciences team in Global Customer Capabilities & Innovation, the Senior Data Scientist will partner with commercial insights and analytics, brand teams, sales operations, data teams, external vendor partners, media agencies, service owners, and IS partners to develop advanced analytics and data science solutions that address complex business problems across multiple therapeutic areas and commercial functions.

This individual will independently lead analytical work streams, apply deep technical expertise to large and complex healthcare datasets, develop and product ionize machine learning and AI solutions, and translate sophisticated analyses into clear, actionable business recommendations. The Senior Data Scientist will also contribute technical leadership, methodological standards, and mentorship across the team.

• Leading the development and application of data science, machine learning, and artificial intelligence capabilities across Amgens commercial organization.
• Translating complex business, medical, or scientific questions into analytical frameworks and defining appropriate solutions, success measures, delivery plans, and business impact.
• Identifying high‑value business opportunities and independently recommending fit‑for‑purpose analytical, statistical, machine learning, or AI approaches.
• Designing, building, validating, and deploying high-performance algorithms, predictive models, prototypes, and production-ready analytical solutions using Python, SQL, and PySpark, with a focus on performance, interpretability, scalability, and actionability.
• Applying advanced measurement and experimentation approaches, including test/control design, causal inference, attribution, and other methods, to quantify business and promotional impact where appropriate.
• Partnering cross-functionally with stakeholders to align on methodology, data requirements, assumptions, limitations, and interpretation of results.
• Providing technical leadership and mentorship, contributing reusable methodologies and best practices, and staying current with developments in data science, machine learning, AI, and industry analytics.
• Communicating complex analytical findings and recommendations clearly to technical, scientific, medical, commercial, and executive stakeholders through compelling storytelling and presentations.
• Ensuring analytical solutions comply with…