Data Scientist - Healthcare
Stellar IT Solutions
Orlando, United States of America
1 month ago
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Compensation
$ 131KJob location
Orlando, United States of America
Tech stack
Data analysis
Statistical Hypothesis Testing
Python
Machine Learning
Regression Analysis
SQL Databases
Cloud Platform System
Snowflake
Statistics Packages
Programming Languages
Job description
- Develop, enhance, and optimize statistical and machine learning models to improve accuracy and business outcomes
- Analyze large-scale healthcare datasets, including claims and consumer data, to generate actionable insights
- Apply statistical methods such as:
- Hypothesis testing (t-tests, etc.)
- Regression analysis
- Advanced modeling techniques
- Build and maintain data pipelines and analytical datasets using SQL and cloud-based platforms
- Partner with stakeholders to translate business problems into data-driven solutions
- Create ad hoc reports and dashboards to support leadership decision-making
- Provide analytical rigor and ensure models meet academic and statistical best practices
- Present findings and insights to business and clinical stakeholders, with potential participation in conferences and external forums
Requirements
Do you have experience in Statistical analysis tools?, Do you have a Bachelor's degree?, Must have: healthcare experience (Claims data highly preferred), SQL, Python, Machine Learning, * Bachelor's degree in Data Science, Statistics, Mathematics, or related field
- Healthcare industry experience required, specifically:
- Claims data across payers/providers
- Strong experience with:
- SQL (must-have)
- Data analysis and statistical modeling
- Proven ability to work with cross-functional stakeholders and communicate complex insights clearly
Preferred Qualifications
- Master's degree (strongly preferred) in Data Science, Statistics, or related field
- Experience with:
- Snowflake (preferred)
- Python or similar programming languages