Senior Machine Learning Engineer, Data & Intelligence Products

Team Mission

The Data Team is on a mission to represent medical reality by transforming raw data into assets that directly generate sales for our customers and help bring cutting-edge medical technology to the patients who need it most. We thrive on turning complexity into simplicity and driving the continuous growth of our products. We acquire terabytes of data from diverse sources and apply modern statistical and machine learning techniques to shape the future of our products and deliver measurable value to customers.

Responsibilities

• Design, train, and validate predictive and statistical models that turn noisy healthcare data into reliable intelligence products used by MedTech commercial teams
• Frame open-ended business questions as modeling problems — selecting the right approach (classification, regression, clustering, causal inference, ensembles, etc), defining success metrics, and quantifying uncertainty
• Engineer features and conduct applied research across time-series, geospatial, demographic, insurance claims, and more datasets, to improve the coverage and signal quality of our core data assets
• Own the full model lifecycle: exploratory analysis, baseline modeling, experimentation, validation, deployment, and post-launch monitoring for drift and performance
• Partner with product managers and cross-functional stakeholders to translate customer problems into model-backed product features and to shape the roadmap