Top Data Science Jobs in Orlando, FL

The Sr. Enterprise Architect - Portfolio develops technology strategy and architecture, ensuring alignment between IT solutions and business goals, while leading technical teams.

Lead the data science strategy, mentor a team of data scientists, oversee AI model deployment, and ensure measurable business impact.

The Director of Client Services will manage a cross-functional team to deliver Enterra's solutions, ensuring client success and value delivery.

Join Form Bio to empower scientific discovery through software. Collaborate with multi-functional teams, requiring strong analytical skills and organization in a remote culture.

As an AI Tutor, you will teach, evaluate, and red-team AI models in data science principles, focusing on statistical modeling, machine learning, and data ethics.

The VP will lead the Claims Data Science organization, focusing on AI capabilities to enhance claims outcomes and customer experience. Responsibilities include overseeing the data science team, collaborating with business leaders, and managing AI strategy implementation.

The Senior Account Executive is responsible for driving new business sales, cultivating relationships, and managing prospective accounts, focusing on the Fusepoint offering.

The Associate Director leads data management and portfolio analytics initiatives, transforming data into insights for better business decisions and patient outcomes, while managing a team and driving innovation.

The Director, Technical Data Product Owner, collaborates on product requirements, ensures data product delivery, and manages technical documentation and stakeholder communication, focusing on data management solutions in healthcare.

Lead data partnerships by executing data acquisition strategies, negotiating agreements, and evaluating data quality in clinical and observational studies.

The Principal Solution Consultant ensures maximum value from solutions for clients, focusing on Net Dollar Retention through strategic stakeholder engagement, data analysis, and solution adoption.

As a Senior Solution Consultant, you'll advise clients on identity verification solutions, lead technical workshops, and collaborate with various teams to ensure seamless adoption and satisfaction.

Lead a team of Data and ML engineers, develop ML systems, collaborate on AI solutions, mentor staff, and operationalize ML processes.

The Associate Principal leads Data & AI business development, managing client relationships and driving market strategies to exceed client expectations.

The Sr. Director will oversee the development of credit strategies and statistical models to optimize approval rates, monitor portfolio performance, and ensure compliance with risk appetite for various financial products.

Lead projects in machine learning, develop statistical algorithms, collaborate across teams, mentor juniors, and conduct research on healthcare datasets.

As a Data Scientist, you will leverage data to improve client experiences, design metrics, build data pipelines, and collaborate with teams on data-informed decision-making.

Lead product initiatives from ideation to launch, manage P&L, and collaborate with cross-functional teams to ensure successful outcomes.

Analyze data to support Airbnb's new business extensions, providing actionable insights on key metrics through advanced analysis and collaboration with teams.

Join the Customer Success team to manage customer support, troubleshoot issues, and improve documentation and processes. Engage with internal teams to enhance product offerings.

As a Technical Recruiter, you will source and recruit top technical talent for AI/ML and Data Science roles while managing candidate experience and the hiring process.

Develop and design learning paths and courses in various technical domains, authoring materials and assessments while collaborating with team members.

As an AI Tutor - JSON, you will review JSON data structures, solve modeling tasks, and enhance AI-generated outputs by ensuring compliance with JSON standards.

Define and drive the AI platform vision, lead product lifecycle from discovery to delivery, ensure integration of AI in decision-making processes, and establish success metrics.

Lead the development of reporting and analytics capabilities, improve product features, and drive cross-functional collaboration to enhance customer satisfaction and revenue growth.