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

The Data Architect leads data initiatives by optimizing data architecture, pipelines, and flow. Responsibilities include developing data strategies, managing end-to-end data architecture, enhancing data accessibility and security, and building analytics tools for performance insights.

As the Manager of Data Exchange Support, you'll lead efforts to enhance data exchange operations with a 24/7 support model. Responsibilities include managing KPIs, improving observability through automation, handling root cause analyses, collaborating with cross-functional teams, and ensuring excellent customer service. You'll also manage a team of specialists and oversee disaster recovery planning.

The Senior Data Scientist will analyze complex data, build and deploy machine learning models, write Python code for data analysis, collaborate with teams, and provide feedback on data analyses. They will work in a remote, collaborative culture focused on delivering insights and product improvements.

The Senior Field Application Scientist will manage customer application needs for genomic analysis, train customers on new processes, provide troubleshooting support, develop workflows, and represent the company at customer sites and scientific conferences.

The Investment Portfolio Analytics Manager will oversee the investment data and analytics platform, manage a team of Analysts, ensure accuracy of analytic outputs, redesign asset allocation models, produce quarterly reports, and coordinate with various teams for investment-related data.

The Data Science Manager will lead a high-performance team of data scientists to influence growth and user retention through actionable insights. Responsibilities include mentoring team members, driving data-driven decision-making, and collaborating with engineering and product teams to enhance user experience. The role also involves communicating complex findings to diverse stakeholders and fostering an inclusive team culture.

Looking for a Sr. Data Scientist to design, build, and train algorithms and models for large enterprise customers. Responsibilities include collaborating with stakeholders, data manipulation, authoring reports, engaging with development teams, and driving thought leadership. Qualifications require an advanced degree or exceptional ability in a relevant field, 3-5+ years of hands-on experience, knowledge in mathematics and machine learning, and strong computer science fundamentals.