onsite
Data Scientist - Medicaid - Peraton
Data Scientist
Data Scientist focused on Medicaid analytics, leveraging Python, SQL, and machine‑learning techniques to build predictive models, generate insights, and support data‑driven decision making for health‑care programs.
About the role
Key Responsibilities
- Design, develop, and validate predictive and descriptive models to improve Medicaid program outcomes and cost efficiency.
- Extract, clean, and transform large-scale health‑care datasets from multiple sources using SQL and Python.
- Create interactive dashboards and visualizations to communicate findings to stakeholders and guide policy decisions.
- Collaborate with domain experts, program managers, and engineers to translate business requirements into analytical solutions.
- Implement and maintain scalable analytics pipelines on cloud platforms such as AWS.
Requirements
- Bachelor’s or higher in Computer Science, Statistics, Public Health, or a related quantitative field.
- 3+ years of hands‑on experience with Python (pandas, scikit‑learn) and SQL for data manipulation and analysis.
- Proven ability to apply machine‑learning algorithms and statistical modeling to health‑care or government data.
- Experience building data visualizations and dashboards using tools like Tableau, Power BI, or Plotly.
- Familiarity with cloud services (AWS EC2, S3, SageMaker) and best practices for data security and compliance.
Skills
pythonsqlmachine learningaws