Top Senior Level Data Science Jobs in Miami, FL

The Sr. Principal Data Scientist will assess data management within NSIC, develop data infrastructure guidelines, implement a data lifecycle management framework, ensure data quality, leverage advanced analytics techniques, and identify capacity building programs for personnel.

As a Sr. Data Scientist, you will lead the development of advanced scoring and indexing models for predicting business outcomes, collaborate with teams to integrate solutions, conduct data analysis, and ensure the accuracy of models while communicating insights to stakeholders.

As a Senior Data Scientist at Entefy, you will influence the future of productivity through advanced analytics. Responsibilities include delivering insights from structured and unstructured datasets, leading other data scientists, and employing strong data visualization skills.

The Senior Revenue Operations Analyst will focus on territory management and automation processes within the Revenue Operations team. Responsibilities include analyzing data to provide territory recommendations, systematizing territory assignments, and ensuring data hygiene across various teams. Collaboration with Customer Success and GTM teams is essential to enhance lead distribution and territory alignment.

The Senior Revenue Operations Analyst will shape and assign sales territories through data analysis and automation, collaborate cross-functionally, and monitor data accuracy. Responsibilities include improving internal processes, utilizing tools like Dunn & Bradstreet, and providing guidance to the GTM teams.

Responsible for developing tailored data science solutions, leveraging machine learning techniques to transform complex datasets into actionable insights, communicating findings, designing scalable models, and working cross-functionally with teams to integrate data science solutions.

The Senior Application Scientist configures and supports the implementation of Dotmatics solutions in complex laboratory and research environments. Responsibilities include data integration, monitoring data flow, conducting technical reviews, providing customer training, and collaborating with cross-functional teams to meet customer needs.