Lead data science initiatives for Net Revenue Management platform, building and operationalizing statistical, econometric, and machine learning models to drive commercial decisions.
Locations (3)
Aarhus, Central Jutland, Denmark
Gdańsk, Pomerania, Poland
Viby J, Central Jutland, Denmark
Compensation
competitive salary and benefits
Responsibilities
Build and operationalize forecasting, pricing, and promotional effectiveness models
Design and develop statistical, econometric, and machine learning models
Apply ML models to evaluate commercial initiatives
Partner with engineers to establish scalable MLOps and model monitoring
Translate business opportunities into scalable analytical solutions
Requirements
MSc or PhD in Statistics, Econometrics, Data Science, Mathematics or related discipline
The Data Scientist will join the PREVENT pAKI project, leveraging federated and pooled machine learning on EHR data to predict postoperative acute kidney injury and develop personalized prevention strategies.
Locations (3)
New York, New York, United States
Los Angeles, California, United States
Nashville, Tennessee, United States
Compensation
The salary range for the role is $109000 - $163695 Annually.
Responsibilities
Build and curate analytic cohorts from OMOP-mapped and perioperative data warehouse sources
Develop and validate prediction models (gradient-boosted trees, graph neural networks) with uncertainty quantification
Implement and compare site-specific, pooled and federated models across three institutions
Apply causal inference methods and reinforcement learning to identify sub-phenotypes
Data Scientist I - Windreich Department for AI & Human Health Research
Lead data science efforts on the PREVENT pAKI project, developing federated and pooled machine learning models to predict postoperative acute kidney injury across multiple hospitals.
Locations (3)
New York City, New York, United States
Los Angeles, California, United States
Nashville, Tennessee, United States
Responsibilities
Build and curate analytic cohorts from OMOP-mapped and perioperative data warehouse sources
Develop and validate prediction models including gradient-boosted trees and graph neural networks
Implement federated and pooled models across three institutions
Apply causal inference and reinforcement learning to identify sub-phenotypes
Maintain version-controlled, reproducible code and documentation
Experienced Data Scientist for Agentic ApplicationsArla Foods Inc. (US) · Aarhus, Denmark+2 more
Data Scientist I - Windreich Department for AI & Human Health ResearchMount Sinai Health System · New York, US+2 more