Top Remote Data & Analytics Jobs in Tampa Bay, FL

The role focuses on enhancing recruiting analytics by improving operational efficiencies, managing recruitment data, developing dashboards and reports, and cooperating with the talent acquisition and People Analytics teams. It requires a strategic thinker who can manage day-to-day recruitment analytics and provide data solutions to optimize recruiting efforts.

As a Data Analyst, you will collect, process, and analyze data to generate insights that support decision-making across the organization. Key responsibilities include defining metrics, cleaning and transforming data, conducting A/B testing, and collaborating with Data Engineers to improve processes.

As Data Scientist Manager, you will lead data transformation projects, develop data science products, mentor team members, and optimize internal tools, while fostering client relationships and ensuring high-quality delivery of services.

The Senior Data Engineer at Sol Systems will design, build, and maintain robust data pipelines and infrastructure, ensuring data quality and governance. Responsibilities also include collaborating with stakeholders, optimizing ETL processes, and potentially guiding future data engineering team members as the company scales its data capabilities.

The Quantum Cheminformatics Scientist will work on combining quantum computing with cheminformatics and machine learning to solve complex challenges in drug design and materials science. Responsibilities include developing workflows, applying ML models for molecular discovery, collaborating with experts, and documenting findings for publications.

Rialtic invites you to submit your resume if you don't see a fitting position. They promise to reach out when a suitable job becomes available. They encourage all candidates, especially underrepresented groups, to apply even if they don't meet every requirement.

The Principal Data Architect will lead the design and implementation of complex cloud-based data solutions, focusing on strategic roadmaps and engagements, and overseeing the development of data standards. The role requires extensive experience in cloud data and analytics technologies, including relational database design and big data processing.