Staff Data Scientist - AI4Data
Lead end-to-end data and AI initiatives to detect fraud and waste in healthcare payments. Design and validate machine learning models and LLM-based solutions while collaborating with cross-functional teams.
Lead end-to-end data and AI initiatives to detect fraud and waste in healthcare payments. Design and validate machine learning models and LLM-based solutions while collaborating with cross-functional teams.
Lead the operational expansion of the Copilot product across new healthcare providers and operators. Manage daily interactions with auditors and billing teams while translating clinical audit insights into product roadmap improvements.
You will be responsible for evolving data engineering pipelines and building end-to-end observability to ensure performance and business impact. Additionally, you will define actionable indicators, optimize Python code for scalability, and collaborate on architectural solutions in the cloud.
You will be responsible for evolving data engineering pipelines and building end-to-end observability to ensure performance and business impact. Additionally, you will optimize Python code for scalability and define architectural solutions that balance cost, complexity, and efficiency.
Analyze complex client data to identify patterns and translate insights into strategic recommendations. Collaborate with Business, Health, and Data Engineering teams to develop dashboards and define performance metrics.
Act as the strategic link between business vision and data science to implement AI models and agents for healthcare clients. Lead the delivery of projects aimed at reducing waste in the health sector through data-driven diagnostics and technical reporting.
Act as the strategic link between business vision and data science to implement AI models and agents for healthcare clients. Lead the delivery of projects aimed at reducing waste in the health sector through data-driven diagnostics and technical reporting.
Lead the architecture and evolution of the Audit Copilot platform, ensuring scalability, security, and traceability. Mentor engineers and collaborate with Product teams to balance technical debt with delivery speed.
Analyze complex data to extract business insights and develop dashboards for strategic decision-making. Collaborate with data engineering teams to ensure data quality and define key performance indicators.
This is a talent pool registration, not for a specific role, aimed at identifying individuals passionate about transforming the healthcare sector through technology. The company focuses on reducing fraud, abuse, and waste in health payments using data and artificial intelligence.