Top Senior Level Data & Analytics Jobs in Miami, FL

The Principal Data & ML Scientist will lead the Generative AI team, focusing on developing and optimizing models for multimodal document processing and structured data extraction. Responsibilities include technical leadership, strategic planning, model development, and collaboration with cross-functional teams, while mentoring team members in advanced machine learning techniques.

The Credit Review Data Analyst will manage and analyze credit data for assessments and reporting on risk, quality, and trends, while collaborating with ICR stakeholders to enhance operational processes and data visualization techniques.

The Senior Data Engineer at Cypris will design, build, and maintain scalable data pipelines and systems. Responsibilities include optimizing data performance, implementing ETL processes, collaborating with teams for data solutions, and ensuring data security. The role focuses on enhancing data capabilities in an AI-powered research tool for global innovation data.

Seeking a Senior Provisioner with 3-5 years of telecom experience to manage telecom orders, coordinate service installations, and communicate with clients and vendors for timely and accurate service delivery of Voice and Data telecom services.

The Sr. Data Scientist will manage projects involving clinical data analysis, develop algorithms for real-world data insights, and collaborate with various teams to drive advancements in cancer care. Responsibilities include data wrangling, pipeline engineering, and supporting product development.

As a Senior Product Analyst, you will provide actionable insights, conduct product analytics and advanced analytics projects to support ecommerce brands. Responsibilities include preparing data for modeling, applying statistical analysis, and collaborating with stakeholders to define business questions and metrics.

As a Senior Data Engineer, you'll design, build, and maintain scalable data pipelines in cloud infrastructure, collaborating with teams for data analytics and machine learning projects. Your role includes developing ETL pipelines, optimizing SQL performance, and working with both relational and NoSQL databases.