Data Scientist

About This Role

The Data Scientist will accelerate the AI agenda across UHC Consumer Operations, focusing on AI ethics, regulatory compliance, and healthcare innovation. This role involves designing testing protocols for AI models, collaborating with cross-functional teams, and advocating for responsible AI practices.

Responsibilities

• Design and write new guidelines for AI testing and ongoing monitoring
• Design and document improved testing methodologies, especially for novel use cases
• Clearly communicate with diverse teams including legal, compliance, and AI development over a wide variety of AI methods including Generative AI and traditional ML
• Document findings, create reports related to KPOs, and present results to stakeholders
• Develop job aids and guidance documentation for best practices of responsible AI
• Help identify vulnerabilities related to PII/PHI exposure in AI interactions
• Stay abreast of the latest developments in AI/ML research and incorporate relevant findings into work
• Build and enforce consistent AI lifecycle management process
• Enforce policies for data quality, lineage, accuracy and security across AI pipelines
• Design and oversee AI performance reporting dashboards covering accuracy, bias, fairness, operational health, real time anomaly detection and more

Requirements

• 8+ years of experience in computer science, applied mathematics, applied statistics, linguistics or related quantitative fields
• Experience in establishing data integrity and governance frameworks at scale
• Extensive experience with advanced natural language processing models and clinical natural language processing, clinical de-identification, and clinical annotation
• Deep understanding of AI ethics and fairness considerations
• Proficiency in the full machine learning lifecycle including development, deployment, and monitoring
• Proven solid analytical and problem-solving skills
• Legally authorized to work in the US without any restrictions

Qualifications

• 8+ years of experience in computer science, applied mathematics, applied statistics, linguistics or related quantitative fields

Nice to Have

• Experience collaborating with cross-functional teams including product managers and business stakeholders
• Experience partnering with AI forward companies like Amazon, Google, Microsoft and the likes
• Knowledge of large language models, conversational AI, prompt engineering, and adversarial testing
• Familiarity with regulatory frameworks relevant to AI healthcare systems including claims payment and call centers
• History of delivering production systems that include clinical natural language processing, sentiment analysis, text classification, medical/health informatics, clinical de-identification, and clinical annotation
• Proven ability to translate business needs into technical solutions

Skills

* Required skills

Benefits