CDNA_Data Scientist Data Science & Measurement

Job highlights

• Bachelor s or Master s in Data Science,Engineering,Statistics,or a related quantitative field
• Preferred Qualifications
• 3 5 years of experience in analytics,modeling,or data science delivery
• Experience with data visualization and performance metric tracking

Career Category Engineering Job Description

HOW MIGHT YOU DEFY IMAGINATION
If you feel like you re part of something bigger, it s because you are. At Amgen, our shared mission to serve patients drives all that we do. It is key to our becoming one of the world s leading biotechnology companies. We are global collaborators who achieve together researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It s time for a career you can be proud of.

Live | What you will do

• Support the execution of analytics and modeling projects across therapeutic area (TA) delivery and/or investment analytics teams.
• Assist in data preparation, exploratory analysis, metric tracking, and performance reporting with high accuracy.
• Help maintain and operationalize dashboards or reusable code assets in Databricks or Python/SQL environments.
• Contribute to project delivery by partnering with senior data scientists and leads on model building, testing, and result summaries.
• Support documentation, version control, and deployment practices using standardized platforms and tools.
• Stay curious continuously learn about methods such as marketing mix modeling, predictive modeling, A/B testing, and causal inference.

Thrive | What you can expect

As we work to develop treatments that take care of others, we also work to care for our teammates professional and personal growth and well-being.

Basic Qualifications

• Bachelor s or Master s in Data Science, Engineering, Statistics, or a related quantitative field.
• 3 5 years of experience in analytics, modeling, or data science delivery.
• Working knowledge of Python and SQL; comfort working in Databricks or similar environments.
• Experience with data visualization and performance metric tracking.
• Strong attention to detail and a focus on delivering high-quality, reproducible work.

Preferred Qualifications

• Exposure to marketing mix modeling, predictive modeling, or experiment-based analytics.
• Interest in life sciences, healthcare, or pharma analytics environments.
• Familiarity with tools such as MLflow, Git, or Jupyter notebooks.
• Demonstrated ability to collaborate with analysts, engineers, or business partners to get things done.

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