Amgen, one of the world’s biggest biotechnology companies, is hiring Data Scientists for its Hyderabad (On-Site) location. This role is perfect for professionals with strong analytical skills and hands-on experience in Machine Learning, statistics, and advanced data modeling.
With more than 40 years of innovation, Amgen stands at the intersection of biology + technology, building life-saving medicines using human genetic data, AI, and advanced analytics. This job offers an opportunity to work on projects that directly impact global healthcare and millions of patients.
Job Overview Table
| Category | Details |
|---|---|
| Company | Amgen |
| Role | Data Scientist |
| Location | Hyderabad, India |
| Work Type | On-Site |
| Job ID | R-230045 |
| Experience | 1–5 Years (Based on Qualification) |
| Qualification | Bachelor’s / Master’s in CS, Statistics, STEM |
| Category | Information Systems |
| Posted On | Nov 21, 2025 |
About Amgen
Amgen is a global leader in biotechnology, known for discovering and developing medicines for some of the world’s toughest diseases. Using AI, genetic research, and data-driven innovation, Amgen has been shaping the future of healthcare for over four decades.
This role allows you to work in an environment where science meets advanced analytics to create life-changing solutions.
Role Overview
As a Data Scientist at Amgen, you will work on high-impact projects involving:
- Machine Learning
- Predictive Analytics
- Statistical Modeling
- Operational Research
- Semantic Analysis
- MLOps & Model Lifecycle Management
Your job is to uncover patterns in large datasets, build data-driven solutions, and collaborate with developers, engineers, and global teams.
Roles & Responsibilities
1. Build Analytics for Business Needs
You will develop ML and statistical models that solve real customer and business problems.
2. Convert Algorithms into Real Products
Work alongside software engineers to turn models into scalable solutions.
3. Apply ML, Predictive & Prescriptive Analytics
You will work on model development, optimization, and real-world application.
4. Perform Data Analysis
Use descriptive statistics, visualization, and exploration techniques to understand data.
5. End-to-End Model Lifecycle Using MLOps
Manage model building, testing, deployment, and monitoring using tools like:
- MLflow
- Kubeflow
- Airflow
6. Collaborate with Data Engineers
Work on data quality checks, cleansing, feature extraction, and pipeline improvements.
7. Document & Communicate Work
Prepare reports, annotated code, and artifacts to share with team members.
8. Work in SAFe Agile Teams
Participate in regular discussions, sprint planning, and collaborative decision-making.
Required Skills (Must-Have)
- Experience with SAS, SPSS, Python, or R
- Strong background in applied analytics, descriptive statistics & ML
- Ability to visualize data and communicate insights clearly
- Good understanding of regression, classification, clustering
- Hands-on experience with ML algorithms
Good-to-Have Skills
- MLOps tools (MLflow, Kubeflow, Airflow)
- DevOps knowledge (Docker, Kubernetes, CI/CD)
- Strong Python skills with ML libraries like TensorFlow, PyTorch, Scikit-learn
- Data engineering and pipeline building
- NLP skills (text analysis, sentiment analysis)
- Time-series analysis
- Cloud experience (AWS/Azure/GCP)
- Experience with Databricks
Soft Skills Required
- Strong communication skills
- Analytical thinking & problem-solving ability
- Self-driven and proactive
- Ability to manage multiple tasks
- Team collaboration mindset
- Documentation and reporting clarity
Eligibility / Qualifications
Master’s Degree (1–3 Years Experience):
- Computer Science
- Statistics
- STEM fields
- Experience with analytics tools (SAS, Python, R, SPSS)
Bachelor’s Degree (3–5 Years Experience):
- Computer Science
- Statistics
- STEM fields
- Analytics tool experience required
Professional Certifications (Preferred)
- AWS Developer Certification
- Python / ML Certifications
- SAFe Agile Certification
These are not mandatory but add strong value to your profile.
Why Work at Amgen?
Work on real-world problems solving global health challenges
Exposure to advanced analytics & AI modeling
Opportunity to collaborate with global technology and biotech teams
Strong learning and growth culture
Work environment focused on innovation, science, and patient impact
🔥 Apply Now – Amgen Data Scientist Job
| Platform | Apply / Join Links |
|---|---|
| Platform Link | Click Here |
| Official Apply Link | Click Here (Official) |
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Conclusion
Amgen’s Data Scientist role is an excellent opportunity for professionals passionate about machine learning, big data, and scientific problem-solving. The role offers exposure to modern technologies, global collaboration, and work that directly improves patient lives worldwide.
With strong growth opportunities, cutting-edge analytics, and biotech innovation, this position is ideal for those who want to build a meaningful and impactful career.