Healthcare Data Scientist: Predictive Analytics & Insights

Jeffersonhealth; Texas; Sur place; USD 110 000 - 150 000; Plein temps

Résumé du poste

Jefferson Health is seeking a Data Scientist to conduct statistical analyses and design experiments that support data-driven decision-making. You will work closely with the Data Science team to apply data science principles, develop models, evaluate results, and communicate findings to stakeholders.

Responsibilities include data extraction, cleaning, modeling, and collaboration with cross-functional teams to identify business problems solvable by data science, while building interpretable

Qualifications

• Master’s degree in a quantitative field.
• 3+ years in data science or related work experience.
• Proficiency in Python, R, and SQL.
• Proven experience in data analysis, machine learning, and statistical modeling.
• Ability to communicate technical concepts to non-technical audiences.
• Understanding of machine learning algorithms.

Responsabilités

• Perform data extraction, cleaning and harmonization.
• Complete data analysis and statistical modeling.
• Develop predictive models and design experiments to support data-driven decisions.
• Collaborate with cross-functional teams to identify business problems solvable by data science.
• Provide model interpretation and visualization of results.
• Analyze customer, transaction, and campaign data to identify trends and shape insights.

Connaissances

Data analysis

Machine learning

Statistical modeling

Problem solving

Communication (non-technical)

Analytical thinking

Formation

Master’s Degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or related field

Outils

Python

R

SQL

Description du poste

Jefferson Health is seeking a Data Scientist to conduct statistical analyses and design experiments that support data-driven decision-making. You will work closely with the Data Science team to apply data science principles, develop models, evaluate results, and communicate findings to stakeholders.

Responsibilities include data extraction, cleaning, modeling, and collaboration with cross-functional teams to identify business problems solvable by data science, while building interpretable