Amgen Inc. is hiring a V&A Transformation–Sr Associate Data Scientist to tackle the US Value & Access team's most significant business challenges. You will be responsible for developing and deploying advanced machine learning, operational research, and statistical methods to uncover insights from large data sets. Our award-winning culture is collaborative, innovative, and science-based, with a shared mission to serve patients living with serious illnesses.
What You'll Do
- Work with the broader USV&A Transformation team to develop and test AI and advanced statistical solutions to address priority business challenges.
- Ensure models are trained with the latest data and meet SLA expectations.
- Act as a subject matter expert in solving development and commercial questions.
- Work with a global cross functional team on the AI tool’s roadmap.
- Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
- Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information.
- Perform exploratory and targeted data analyses using descriptive statistics and other methods.
- Model/analytics experiment and development pipeline leveraging MLOps.
- Collaborate with technical teams to translate the business needs into technical specifications, particularly focusing on AI-driven automation and insights.
- Develop and integrate custom applications, intelligent dashboards, and automated workflows that incorporate AI capabilities to enhance decision-making and efficiency.
What We're Looking For
- 5-9 years of experience post Degree in computer science, statistics or STEM majors with a minimum of 2 years of Information Systems experience.
- Experience with one or more analytic software tools or languages like R and Python.
- Foundational understanding of US pharmaceutical ecosystem, relevant data sets (e.g., claims, prescription) and Patient support services offerings (e.g., copay).
- Strong foundation in machine learning algorithms and techniques.
- Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification.
Nice to Have
- Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow).
- Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD).
- Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with data engineering and pipeline development.
- Knowledge of NLP techniques for text analysis and sentiment analysis.
- Experience in analyzing time-series data for forecasting and trend analysis.
- Experience with AWS, Azure, or Google Cloud.
- Experience with Databricks platform for data analytics and MLOps.
- Any AWS Developer certification.
- Any Python and ML certification.
Technical Stack
- R, Python
- TensorFlow, PyTorch, Scikit-learn
- MLflow, Kubeflow, Airflow
- Docker, Kubernetes, CI/CD
- AWS, Azure, Google Cloud
- Databricks
Team & Environment
You will be part of the broader USV&A Transformation team and a global cross functional team.
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.



