Senior Data Scientist

Tasks

• Build machine learning models
• Build targeting and next best action recommendations
• Collaborate with stakeholders on analytics initiatives
• Create model and AI solution repository
• Deploy analytics solutions
• Design health AI evaluation frameworks
• Develop data mining models
• Develop generative AI solutions
• Develop predictive solutions
• Develop prescriptive solutions
• Develop segmentation models
• Diagnose production model issues
• Establish AI modeling standards
• Improve data quality and governance
• Lead design and development of AI solutions
• Manage model risk and mitigation actions
• Monitor model performance
• Perform multivariate analysis
• Report AI project benefits and outcomes
• Track and analyze model adoption
• Transform analytics into business actions
• Translate business requirements into analytics

Perks/Benefits

• Hybrid work environment

Skills/Tech-stack

Apache Spark | Azure | Big Data | Claims analytics | Data Governance | Data Mining | Data Quality | Generative AI | Hadoop | Health Analytics | Hive | Machine Learning | Model Monitoring | Multivariate analysis | Predictive Modeling | Prescriptive Analytics | Python | R | Response Tracking | SAS | SQL | Segmentation | Statistical modeling | Test and Control