Data Scientist

Lincare; Clearwater (FL); On-site; USD 90,000 - 130,000; Full time

Job summary

Lincare is seeking a Data Scientist to support AI-driven initiatives aimed at revenue growth, efficiency, and patient Lifetime Value. The role involves prescriptive, predictive, and informational analytics to identify actionable insights using machine learning, NLP, and LLMs, with code in SQL, Python, and R-Markdown.

You will work on large datasets, develop AI platforms and strategies, and collaborate with multiple teams to deliver measurable business impact and training as needed.

Qualifications

• Building machine learning algorithms.
• NLP and LLMs development.
• Statistical analysis and data-driven insights.

Responsibilities

• Analyze massive data sets and prepare for statistical analysis.
• Handle data cleaning: missing values and inconsistent formats.
• Apply ML, NLP, LLMs, or related data science techniques on projects.
• Create reports with complex formulas and validate results.
• Collaborate with tech teams and translate insights into action.

Skills

Machine learning

Data engineering

NLP

LLMs

Python

SQL

Job description

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. Skills required include, but are not limited to:

• building machine learning algorithms
• natural language processing (NLP)
• large language models (LLMs) and any other required AI skills
• Technical coding skills are also required and include SQL code, R-Markdown and Python.

Required

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. Skills required include, but are not limited to:

• building machine learning algorithms
• data engineering
• natural language processing (NLP)
• large language models (LLMs) and any other required AI skills
• Technical coding skills are also required and include SQL code, R-Markdown and Python.

Through the combination of statistical knowledge, AI skills and technical coding languages, a data scientist will be required to complete any assigned analytical projects in a timely and efficient manner. 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 take a key role in the planning and development of 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 work with other teams to gain insight and to provide technical training to others.

Job Functions

• 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 best approach for assigned project 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 life time value using data science technologies.
• Performs other duties as assigned.
• Complies with all policies and standards.