Associate Data Science
At a glance
Junior Data Science role at Amgen. Hyderabad · full-time.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Prepare datasets, explore patterns and build features so senior data scientists can develop models
- Help create and test predictive models and analytical approaches with guidance from experienced teammates
- Track metrics, assess model performance and run validation checks carefully
- Turn findings into summaries, visualizations and presentations for business stakeholders
- Update Python and SQL code, dashboards and analysis assets, following documentation and quality practices
What you bring
- A bachelor’s or master’s degree in a quantitative field such as data science, statistics or engineering
- Three years of work in analytics, data science or a related area
- Working ability in both Python and SQL
- Strong analytical problem-solving skills and careful attention to accuracy
Who this fits
This entry-level role suits someone building applied data science skills while contributing to commercial analytics projects. You’ll work with senior data scientists and business stakeholders, with Hyderabad, India as the listed location.
From the employer
Career Category
EngineeringJob 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. We are global collaborators who achieve together—researching, manufacturing, and delivering ever-better products that reach millions of patients worldwide. It’s time for a career you can be proud of.
Role Overview
The Associate Data Scientist is an entry-level role supporting data science initiatives across Amgen’s portfolio. This role will work closely with Data Science Leads and senior team members to contribute to analytics, modeling, and insight generation, while building strong foundations in applied data science.
Live | What you will do
- Support analytics and data science projects across commercial use cases in the Gen Med portfolio
- Assist in data preparation, exploratory analysis, and feature engineering to enable modeling efforts
- Contribute to development and testing of predictive models and analytical frameworks under guidance of senior data scientists
- Perform metric tracking, performance analysis, and validation checks with high attention to detail
- Support creation of insight summaries, visualizations, and presentations for business stakeholders
- Maintain and update code, dashboards, and analytical assets in Python/SQL environments
- Follow best practices for documentation, QA, and reproducibility
- Collaborate with team members to meet project timelines and communicate progress effectively
- Engage in continuous learning across predictive modeling, experimentation, and commercial analytics methods
Thrive | What you can expect
- Structured learning and hands-on experience in commercial data science applications
- Exposure to end-to-end analytics delivery across brands and use cases
- Mentorship from experienced data scientists and opportunities to grow into independent contributors
- A collaborative environment focused on learning, impact, and development
Basic Qualifications
- Bachelor’s or Master’s degree in Data Science, Statistics, Engineering, or a related quantitative field
- 3 years of experience in analytics, data science, or related roles
- Working knowledge of Python and SQL
- Strong analytical thinking and problem-solving skills
- Attention to detail and ability to deliver high-quality, accurate work
Preferred Qualifications
- Exposure to predictive modeling, experimentation, or statistical analysis
- Familiarity with commercial analytics or marketing performance measurement
- Interest in healthcare, pharma, or life sciences analytics
- Experience with tools such as Jupyter notebooks, Git, or data visualization platforms
- Ability to work collaboratively with cross-functional teams and senior stakeholders
- Strong communication skills and willingness to learn in a fast-paced environment
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