Data Scientist

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About the Role:

Data Scientist

What We're Looking For

• 5+ years of relative industry experience developing, launching, and maintaining ML systems in production at scale.

• 2+ years' experience developing and tuning LLM systems.

• Strong cross-functional communication with technical and non-technical partners.
• Hands-on data engineering experience manipulating data sets, data cleaning, and pipelines with strong coding skills in

  Python and SQL.

• Strong software development foundations - dedication to high code quality, stable architecture

Key Responsibilities

• Implement and configure statistical and machine learning models in production environments, ensuring optimal performance across diverse healthcare settings.
• Diagnose and troubleshoot model performance issues during configuration, including identifying root causes related to data quality, feature engineering, and model parameters.
• Conduct comprehensive data validation throughout the implementation process to ensure model inputs meet quality standards and flag potential issues before they impact performance.
• Provide ongoing technical support to clients, investigating and resolving model-related issues that arise in production environments.
• Collaborate with implementation teams to configure LLM systems for specific client needs, troubleshooting performance bottlenecks and ensuring reliable deployment.
• Monitor deployed models for performance degradation and implement corrective measures to maintain accuracy and reliability.
• Develop and maintain diagnostic tools and processes to streamline troubleshooting and support workflows.
• Work cross-functionally with customer success, implementation, and engineering teams to ensure seamless model deployment and ongoing support.
• Document troubleshooting procedures and create knowledge base materials to support scaling of implementation and support processes.

Bonus Points For

• Background in healthcare data or hospital operations.
• Experience with Databricks, AWS, Snowflake, DBT, or similar platforms.
• Master's degree or equivalent professional experience in Computer Science, Statistics, or related fields

Your acknowledgment of this email is appreciated & please share your updated CV in response.