Data Scientist (Commercial)

Amgen; Hyderabad; On-site; INR 900,000 - 1,200,000; Full time

Job summary

A leading biotech company in Hyderabad is seeking a Data Scientist to support analytics and modeling projects. The candidate will assist in data preparation, operationalize dashboards, and collaborate with senior data scientists. A background in Data Science, Engineering, or Statistics and experience with Python and SQL are essential. This full-time role offers opportunities for professional growth in a dynamic environment.

Qualifications

• 3–5 years of experience in analytics, modeling, or data science delivery.
• Comfortable working in Databricks or similar environments.
• Strong focus on delivering high-quality, reproducible work.

Responsibilities

• Support execution of analytics and modeling projects across teams.
• Assist in data preparation, exploratory analysis, and performance reporting.
• Help maintain and operationalize dashboards or reusable code assets.

Skills

Data analysis

Model building

Python

SQL

Data visualization

Attention to detail

Education

Bachelor's or Master's in Data Science, Engineering, Statistics

Tools

Databricks

MLflow

Git

Jupyter notebooks

Job description

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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.

Seniority level

Not Applicable

Employment type

Full-time

Job function

Sales, Business Development, and Marketing

Industries

Biotechnology Research and Pharmaceutical Manufacturing

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