Data Scientist - Clearwater, FL

Overview

The Data Scientist is primarily responsible for supporting/leading AI-driven initiatives that will help drive revenue growth, efficiency/productivity, and patient Lifetime Value. The individual will be conducting prescriptive, predictive and informational analytics to identify actionable insights. They will also take a key role in planning and developing Lincare's AI platform and strategy. Projects and long-term strategy development should always focus on business impact and have measurable outcomes for success measurement.

Additionally, this position will be required to identify, plan and implement any other use cases for AI technology to help drive business success and improvement. They will also work with other teams to gain insight and to provide technical training to others.

• Responsible for data analytics / data science on massive sets of complex and, sometimes, unstructured data to prepare for statistical analysis.
• Manipulates or converts data according to analysis needs; and develops approaches to deal with imperfections in data (e.g. missing values or inconsistent data formatting).
• Identifies and executes on the best approach for assigned projects which may include skills including machine learning, NLP, LLMs, deep learning, neural networks or any other data science function.
• Develops reports using complex formulas; analyzes and reviews results for accuracy.
• Understands how to work with multiple data sources, and accurately accesses the correct data within complex databases based on business needs and reporting requirements.
• Will be comfortable interacting at all levels of technology teams both internal and external to Lincare (project managers, database designer, information architecture, multilayer off-shore support centers, etc.).
• Manages projects to ensure they are delivered successfully and in a timely manner.
• Identifies opportunities to improve revenue, productivity/efficiency as well as enhance patient lifetime value using data science technologies.
• Performs other duties as assigned.
• Complies with all policies and standards.

• Building machine learning algorithms
• Data engineering
• Natural language processing (NLP)
• Large language models (LLMs) and any other required AI skills
• Technical coding skills are required and include SQL code, R-Markdown and Python