Data Scientist

• Build and validate analytical and machine learning models to address key healthcare data challenges.
• Explore, clean, and analyze large-scale healthcare datasets to identify patterns and generate actionable insights.
• Work with Product and Engineering to translate findings into scalable, production-ready solutions.
• Contribute to projects involving AI and NLP, helping extract and summarize meaningful information from clinical text.
• Ensure statistical rigor, accuracy, and reproducibility in all analyses.
• Identify and address data quality gaps to improve completeness and reliability.
• Partner with the Data Engineering team to enhance the usability and consistency of our datasets.
• Develop dashboards and metrics that help internal teams and customers better understand our data.
• Work cross-functionally with Product, Engineering, and Data teams to align on goals and deliver data-driven insights.
• Communicate findings clearly to both technical and non-technical audiences.
• Continuously learn, experiment, and contribute ideas to improve data usage for driving outcomes.

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