Data Scientist (US Value & Access Insights)
Core
Develop and deploy 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 / Healthcare / US Pharmaceutical ecosystem
Deliverable
production ML models
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 analysis, cloud platforms (AWS/Azure/GCP), Databricks
Technologies
MLflow, Kubeflow, Airflow, Docker, Kubernetes, CI/CD, TensorFlow, PyTorch, Scikit-learn, AWS, Azure, Google Cloud, Databricks
Responsibilities
Manage execution of Proprietary AI engine; ensure models are trained with latest data and meet SLA; work with global cross functional team on AI tool's road map; utilize technical skills to identify trends and analyze information; model/analytics experiment and development pipeline leveraging MLOps; collaborate to translate business needs into technical specifications; develop and integrate custom applications and intelligent dashboards.
Seniority
Senior, hands-on IC