**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' qualified 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.

📌 Data Scientist (Commercial) (Hyderabad)
🏢 AMGEN
📍 Hyderabad