Locum Gastroenterologist Opportunity

Health Care Administrators Association® (HCAA); Biron (WI); On-site; USD 110,000 - 140,000; Full time

Job summary

Health Care Administrators Association (HCAA) is seeking a Data Scientist to analyze complex data sets and extract actionable insights to guide strategic decision-making. You will develop and implement ML models, visualize findings, and collaborate with cross-functional teams to identify data-driven opportunities.

The role emphasizes data quality, robust pipelines, and clear communication of results to non-technical stakeholders within a healthcare operations context.

Qualifications

• Strong proficiency in statistical analysis, data mining, and modeling techniques.
• Experience with programming languages such as Python, R, or SQL.
• Knowledge of machine learning frameworks and tools.
• Excellent problem-solving and analytical skills.
• Ability to communicate complex data insights to non-technical audiences.

Responsibilities

• Develop and implement machine learning models and algorithms to solve business challenges.
• Interpret and visualize data findings to communicate insights effectively to stakeholders.
• Collaborate with cross-functional teams to identify data-driven opportunities.
• Maintain and improve existing data models and pipelines.
• Ensure data quality and integrity across projects.

Skills

Statistical analysis

Data mining

Modeling techniques

Python

R

SQL

Communication of insights

Tools

Machine learning frameworks

Job description

The Data Scientist will analyze complex data sets to extract actionable insights and support strategic decision-making.

Key Responsibilities

• Develop and implement machine learning models and algorithms to solve business challenges.
• Interpret and visualize data findings to communicate insights effectively to stakeholders.
• Collaborate with cross-functional teams to identify data-driven opportunities.
• Maintain and improve existing data models and pipelines.
• Ensure data quality and integrity across projects.

Qualifications & Skills

• Strong proficiency in statistical analysis, data mining, and modeling techniques.
• Experience with programming languages such as Python, R, or SQL.
• Knowledge of machine learning frameworks and tools.
• Excellent problem-solving and analytical skills.
• Ability to communicate complex data insights to non-technical audiences.