Top Remote Senior Level Data & Analytics Jobs in Orlando, FL

The Manager of Marketing Data Science will spearhead initiatives in data utilization, predictive modeling, and machine learning to enhance marketing strategies and optimize performance for Dow Jones' Enterprise clients. This role involves collaborating with technology and marketing teams to establish robust data infrastructures and ensure data governance, ultimately driving actionable insights and improving customer retention.

The Lead Research Scientist will drive initiatives to enhance healthcare delivery and outcomes by employing mathematical and data science methods. This involves collaborating with stakeholders to evaluate healthcare programs, transforming complex data into actionable insights, and making recommendations based on data analysis and clinical input.

The Senior Revenue Operations Analyst will enhance the effectiveness of the Customer Success organization by analyzing trends, developing KPIs, influencing leadership decisions with data-driven insights, and collaborating with various departments to improve business processes. They will also support compensation design and implement actionable business initiatives within Revenue Operations.

The Principal Applied Scientist will lead the research and development of recommendation algorithms, focusing on model optimization and system scalability. They will mentor ML engineers, influence AI strategy, and collaborate with teams to enhance product innovation and customer experiences at Wizard.

The Control Systems Analyst will manage the lifecycle of Building Management Systems, Electrical Power Monitoring Systems, and Alarm Management platforms, ensuring compliance with operational standards and industry regulations. Responsibilities include developing product strategies, collaborating with engineering teams, managing product releases, and providing technical training.

As a Senior Data Engineer, you will design, build, and maintain scalable data pipelines and infrastructure. You will lead data pipeline development, architect efficient data solutions, and optimize ETL processes while working with cloud platforms and big data technologies. Collaboration with cross-functional teams is essential as you contribute to strategic data initiatives.

The Cloud Data Architect is responsible for creating data products from transactional and third-party data, improving existing systems, and collaborating with teams to build foundational data sets. The role requires experience in cloud data solutions, data warehousing, ETL tools, and big data technologies.