What are the responsibilities and job description for the Data Scientist - Healthcare position at Stellar IT Solutions LLC?
Title: Data Scientist
Location: Orlando, FL - hybrid - 3 days onsite
Duration: 3-6 month contract - potential to hire
Must have: healthcare experience (Claims data highly preferred), SQL, Python, Machine Learning
Key Responsibilities
Required Qualifications
Preferred Qualifications
Location: Orlando, FL - hybrid - 3 days onsite
Duration: 3-6 month contract - potential to hire
Must have: healthcare experience (Claims data highly preferred), SQL, Python, Machine Learning
Key Responsibilities
- 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
Required Qualifications
- 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
Salary : $58 - $63