Data Scientist

Lincare is seeking a Data Scientist to support and lead AI-driven initiatives focused on revenue growth, operational efficiency, and patient lifetime value. The role conducts predictive, prescriptive, and informational analytics; develops machine learning and AI solutions; manages analytical projects; and collaborates with technology teams to deliver measurable business outcomes and provide technical training.

What you'll do:

• 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

What they're looking for:

• 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
• Strong knowledge of basic Structured Query Language (SQL), python and R
• Advanced algorithm skills including logical regression, decision trees, random forest, clustering etc
• Specialized experience in statistics, data analysis with large datasets
• Knowledge of database technologies including DB2, Oracle, Microsoft SQL Server
• High interpersonal, communication, analytical, presentation skills, with a high business maturity
• Able to think creatively and analytically to solve problems
• Strong organizational skills and the ability to meet deadlines/work independently