Data Scientist

• Build solutions using LLMs/ Gen AI / AI / ML.
• Conduct thorough analysis of healthcare revenue cycle processes, including patient registration, prior authorization, billing, coding, claims processing, payment posting, and AR follow up.
• Identify areas of inefficiency within the revenue cycle and develop data-driven recommendations for process improvement.
• Work on multiple work-streams including data manipulation, automation and analyzing large data sets to find useful relationships, trends and generate ideas that impact overall profitability of the business.
• Analyze data to create opportunity / impact estimates, detailed process maps, root cause analysis, identify and prioritize potential solution options, prioritize optimizations / automations.
• Collaborate with stakeholders to brainstorm opportunities, gather and document business requirements.
• Perform in-depth data analysis to identify trends, patterns, and opportunities for revenue optimization and cost reduction.
• Prepare and present executive summaries to stakeholders, conveying complex data in a clear and actionable manner.
• Oversee and manage deliverables from other data analysts.
• Develop performance metrics and KPIs to track revenue cycle performance and measure the effectiveness of proposed solutions.
• Collaborate with other technology teams to design, implement, and test technology solutions that enhance revenue cycle operations.

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