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 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 skilled 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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📌 CDNA_Data Scientist Data Science & Measurement (Hyderabad)
🏢 Amgen
📍 Hyderabad