Data Scientist- Machine Learning

Role Overview: As a Data Scientist at Infostride, you will be joining the Data Science team with a focus on model implementation and operational excellence. Your main responsibility will be to take data science models from development to production, ensuring optimal performance in real-world healthcare environments. You will work closely with implementation teams and clients to configure models for specific healthcare settings, diagnose and resolve performance issues, and validate data quality throughout the deployment process. Your expertise in model operationalization and quick issue resolution will be crucial in this hands-on role. 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, 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 address potential issues proactively. - 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. Qualifications Required: - 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 skills with technical and non-technical partners. - Hands-on data engineering experience in manipulating data sets, data cleaning, and pipelines with strong coding skills in Python and SQL. - Strong software development foundations with a dedication to high code quality and stable architecture. Role Overview: As a Data Scientist at Infostride, you will be joining the Data Science team with a focus on model implementation and operational excellence. Your main responsibility will be to take data science models from development to production, ensuring optimal performance in real-world healthcare environments. You will work closely with implementation teams and clients to configure models for specific healthcare settings, diagnose and resolve performance issues, and validate data quality throughout the deployment process. Your expertise in model operationalization and quick issue resolution will be crucial in this hands-on role. 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, 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 address potential issues proactively. - 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. Qualifications Required: - 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 skills with technical and non-technical partners. - Hands-on data engineering experience in manipulating data sets, data cleaning, and pipelines with strong coding skills in Python and SQL. - Strong software development foundations with a dedication to high code quality and stable arch