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Data Scientist

Lincare

Salary not specified
Sep 10, 2025
Clearwater, FL, US
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Lincare is looking to drive revenue growth, efficiency/productivity, and patient Lifetime Value through AI-driven initiatives

Requirements

  • 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
  • Experience working with Tableau, or similar BI product, to produce visual analytics and dashboards
  • Experience working as an analyst or data scientist in a healthcare related field
  • Experience in developing Machine Learning Models/ LLMs, streamlining ETL operations, Database management and Predictive analytics

Responsibilities

  • 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
  • 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

Other

  • Must be 18 years of age or older
  • Bachelor's Degree in Mathematics, Analytics, Finance or other related field Required
  • Master's Degree in Machine Learning, Analytics, or MBA Preferred
  • High interpersonal, communication, analytical, presentation skills, with a high business maturity
  • Able to think creatively and analytically to solve problems