The Data Scientist supports AI initiatives, conducts analytics, develops ML algorithms, and collaborates on data-driven projects in healthcare to enhance efficiency and revenue.
Job Summary & Responsibilities
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.
- 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.
- Must be 18 years of age or older.
Education and Experience:
- Bachelor's Degree in Mathematics, Analytics, Finance or other related field Required
- Master's Degree in Machine Learning, Analytics, or MBA Preferred
- A Minimum of 1 years' experience working with Tableau, or similar BI product, to
produce visual analytics and dashboards Required - Experience working as an analyst or data scientist in a healthcare related field Preferred
- Experience in developing Machine Learning Models/ LLMs, streamlining ETL operations, Database management and Predictive analytics Preferred
Physical Demands:
The employee may frequently lift and/or move up to 10 pounds and may occasionally lift and/or move up to 25 pounds.
Top Skills
Deep Learning
Large Language Models
Machine Learning
Natural Language Processing
Neural Networks
Python
R
SQL
Similar Jobs
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
The role involves managing AI/GenAI solution development, analyzing client needs, mentoring team members, and overseeing project execution.
Top Skills:
AWSAzureGitGCPKerasLangchainNltkNoSQLPandasPythonScikit-LearnSemantic KernelSQL
Artificial Intelligence • Fintech • Software • Financial Services
The Senior Data Scientist will develop machine learning models, monitor their performance, present findings to executives, and collaborate with engineering teams.
Top Skills:
AWSAzureGCPKerasNumpyPower BIPythonPyTorchRScikit-LearnScipySQLStatsmodelsTableauTensorFlow
Artificial Intelligence • Automotive • Machine Learning • Financial Services
As a Data Scientist at Jerry, you will leverage machine learning models for analyses that inform strategies, optimize growth and drive company initiatives.
Top Skills:
PythonSQL
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
