Data Scientist (US Value & Access Insights)
Core
Developing and deploying advanced machine learning, operational research, and statistical methods to uncover structure in large datasets and create analytics solutions for customer needs.
Role type
Senior Associate Data Scientist (US Value & Access Insights)
Builds
Proprietary AI engine to optimize Copay and other GTN initiatives; intelligent dashboards and automated workflows.
Domain
Biotechnology / Pharmaceutical / US Healthcare Value & Access
Deliverable
production ML models | dashboards & analysis
Required skills
Machine learning algorithms, statistical techniques, hypothesis testing, regression analysis, clustering, classification, R, Python
Preferred skills
MLOps practices, DevOps tools, NLP techniques, time-series forecasting, cloud platforms (AWS/Azure/GCP), Databricks
Technologies
MLflow, Kubeflow, Airflow, Docker, Kubernetes, TensorFlow, PyTorch, Scikit-learn, AWS, Azure, Google Cloud, Databricks
Responsibilities
Manage execution of Proprietary AI engine for Copay optimization; ensure models are trained with latest data; act as subject matter expert for development and commercial questions; work on AI tool roadmap; apply statistical and data mining techniques to identify trends; develop and integrate custom applications and automated workflows.
Seniority
Senior Associate, hands-on IC