Top Senior Level Data & Analytics Jobs in Miami, FL
As a Principal Data Scientist II (AI), you will shape AI strategies and develop innovative AI solutions. Responsibilities include defining AI architecture, collaborating with data scientists, integrating AI capabilities across the platform, providing technical leadership, and driving product innovation.
The Senior Data Analyst will build and enhance CXO data models, develop compelling data visualizations, and present insights to senior leadership. This role involves collaborating with cross-functional teams to improve customer experience and serving as a subject matter expert on VoC data.
The Data Engineer 4 role involves developing and overseeing the company's data systems, optimizing database solutions, managing data migrations, and ensuring compliance with regulations. The incumbent will analyze data needs, recommend improvements, and collaborate with product teams for strategic initiatives, ultimately enhancing customer experiences.
The Senior Process Analyst will design and deliver transformation and continuous improvement roadmaps, focusing on optimizing global processes in finance planning and analysis. Responsibilities include facilitating workshops, performing gap analyses, documenting processes using BPMN, and driving adoption of transformations through effective stakeholder engagement.
The Data Architect at StraighterLine is responsible for developing and maintaining a long-term data strategy to drive business growth, designing data lake/warehouse solutions, integrating systems into a cohesive data architecture, and implementing data governance initiatives. Collaboration with various stakeholders and support for advanced analytics and machine learning initiatives are also key responsibilities.
Develop predictive models and machine learning algorithms to optimize financial processes. Conduct exploratory data analysis to identify patterns, collaborate with teams to design analytical solutions, and build the Data Analytics function as the company expands.
The Senior Data Integration Engineer will develop data models and processing pipelines for large data sets, utilizing SQL and RESTful APIs. Responsibilities include designing and maintaining ETL processes, integrating data from various sources, and ensuring data quality and integrity.
As the Lead Data Scientist, you will establish a data science practice, collaborate with various teams to optimize systems, leverage data for strategic decisions, and utilize advanced analytics techniques to derive insights that drive business outcomes.
Responsible for infrastructure and operations of data storage solutions, third-party integrations, data provisioning services, and ETL/ELT code-based solutions. Develop and implement ETL/ELT pipelines, design databases, and optimize queries for web applications. Work collaboratively with data scientists, programmers, and IT teams in a global setting. Preferred experience in Clinical Data and Regulatory Governance in Pharma Industry.
The Data Strategy Manager will assist clients in identifying opportunities for model improvement within their AI stacks, consulting on business goals, and designing data plans to enhance model performance. This role involves managing projects, creating diagnostics, and ensuring the delivery of high-impact data strategies in collaboration with internal teams and clients.
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