Top Senior Level Data & Analytics Jobs in Miami, FL

The Senior Revenue Cycle Operations Analyst ensures cash integrity for healthcare services, oversees accounts receivable accuracy, manages payment posting and audits, develops procedures, and collaborates with the Finance team and external vendors to optimize revenue cycle operations.

As a Database Engineer, you will design, implement, and maintain database solutions for business operations and analytics. Collaborate with IT professionals, create and modify database objects, develop data pipelines, and optimize database performance while ensuring data confidentiality and maintaining documentation.

The Sr. Analyst will conduct complex data analyses to support large hospital systems, focusing on financial aspects such as pricing and rebates. Responsibilities include analyzing provider data, identifying savings opportunities, communicating findings, and creating analytical reports.

The Senior Applied AI Scientist will drive research and development in NLP, TTS, and computer vision, mentoring engineers and managing projects. The role involves implementing cutting-edge technologies and supporting the growth of the AI team to deliver high-quality outputs for Speechify's services.

The Senior Data Scientist will analyze complex data, build and deploy machine learning models, write Python code for data analysis, collaborate with teams, and provide feedback on data analyses. They will work in a remote, collaborative culture focused on delivering insights and product improvements.

The Senior Field Application Scientist will manage customer application needs for genomic analysis, train customers on new processes, provide troubleshooting support, develop workflows, and represent the company at customer sites and scientific conferences.

Looking for a Sr. Data Scientist to design, build, and train algorithms and models for large enterprise customers. Responsibilities include collaborating with stakeholders, data manipulation, authoring reports, engaging with development teams, and driving thought leadership. Qualifications require an advanced degree or exceptional ability in a relevant field, 3-5+ years of hands-on experience, knowledge in mathematics and machine learning, and strong computer science fundamentals.