Develop and productionize ML models for healthcare products (privacy, inventory, monitoring)
Define and track KPIs to measure model performance and business impact
Collaborate with product teams to scope analytics projects and prototypes
Translate ambiguous business problems into well-defined, quantitative hypotheses
Communicate findings to stakeholders; present results in customer meetings
Inform roadmaps; evaluate feasibility; assess risks; adapt to new data sources

🎯 Requirements

Degree or equivalent in data science, statistics, or CS
Python production code for APIs (Flask, FastAPI)
Deep understanding of statistical models; ML (supervised/unsupervised)
AWS cloud services: SageMaker, Athena, RDS, Glue, ECR, IAM, CodeBuild
Master-level SQL
Git workflows and ability to present to non-technical audiences

🎁 Benefits

Time off when you need it – unlimited vacation days
Generous insurance coverage
401k program with a company match
Fun, collaborative culture

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