Staff Data Scientist - Scalable ML Pipelines for Healthcare

Job description

Vi Engage is seeking a senior data scientist to own scalable ML pipelines training, scoring, and deployment across health system deployments. You will turn longitudinal data into predictive models that generalize across customers with automated feature engineering and model selection.

Role emphasizes production quality, end-to-end pipeline building in Python stack (pandas, sklearn, PySpark, Airflow) and cloud tooling (AWS/SageMaker). On-site Boston preferred.

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Worksite address

boston, MA, 02298, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.