US V&A Insights - Data Scientist
Core
Develop and deploy advanced machine learning, operational research, and statistical methods to optimize Copay and other Global Therapeutic Network (GTN) initiatives for patients.
Role type
Senior Associate Data Scientist (Applied Analytics & AI)
Builds
Proprietary AI engine, intelligent dashboards, and automated workflows for commercial optimization.
Domain
Biotechnology / Pharmaceutical / Patient Support Services
Deliverable
production ML models
Required skills
Machine learning algorithms, Statistical techniques and hypothesis testing, Python, R, US pharmaceutical ecosystem knowledge, Claims and prescription data analysis
Preferred skills
MLOps practices, NLP techniques, Time-series forecasting, Cloud platforms (AWS/Azure/GCP), Databricks
Technologies
Python, R, TensorFlow, PyTorch, Scikit-learn, MLflow, Kubeflow, Airflow, Docker, Kubernetes, AWS, Azure, Google Cloud, Databricks
Responsibilities
Manage execution of Proprietary AI engine to optimize Copay and other GTN initiatives; Ensure models are trained with the latest data and meet SLA expectations; Work with a global cross functional team on the AI tool's road map; Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques; Model/analytics experiment and development pipeline leveraging MLOps; Develop and integrate custom applications, intelligent dashboards, and automated workflows that incorporate AI capabilities.
Seniority
Senior, hands-on IC