Data Scientist (Commercial)
At a glance
Mid-level Data Science role at Amgen. Hyderabad · full-time.
Pay not stated Data Scientist salary
dataroles summary, based on the employer's posting.
What you'll do
- Prepare data, explore it, track metrics and report performance across analytics and predictive-modeling projects
- Keep dashboards and reusable code running in Databricks or Python and SQL environments
- Work with senior data scientists on building and testing models, then summarize the results
- Document your work and follow version-control and deployment practices using standard tools
- Explain marketing campaign results to stakeholders and deliver work on time through a consultative approach
What you bring
- A bachelor’s or master’s degree in data science, engineering, statistics or another quantitative field
- Three to five years delivering analytics, modeling or data science work
- Working ability in Python and SQL, plus experience with data visualization and performance metrics
- Careful, high-quality work that can be reproduced
Who this fits
This role suits someone at a mid-career level who can contribute alongside senior data scientists and communicate findings to stakeholders. It also fits someone interested in marketing analytics methods such as predictive modeling or experiment-based analysis, with possible exposure to life sciences, healthcare or pharma analytics.
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. 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 analytics and predictive modeling projects across Data Science & Measurement and Investment Analytics teams.
- Assist in data preparation, exploratory analysis, metric tracking, and performance reporting with high accuracy.
- 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.
- Drive 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.
- Summarize and communicate marketing campaign performance results clearly to stakeholders.
- Work in a consultative manner with stakeholders while maintaining deadlines.
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
- Critical thinking and structured problem solving ability to intake ambiguous business requirements and develop analytics frameworks
- 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.
- Strong ownership of work with a bias towards action
Data Science work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Science
Find me workBy the team behind dataroles.