
Freelance Healthcare Claims Data Specialist
1 day ago
We are seeking an expert Freelance Data Scientist with a strong background in SQL, Python, and healthcare claims/provider data. The ideal candidate will utilize analytical expertise and domain knowledge to extract insights, build predictive models, and support data-driven decision-making in the healthcare space.
Key Responsibilities:- Data Extraction and Analysis: Extract, clean, and analyze large-scale claims and provider datasets to identify trends, anomalies, and opportunities in healthcare data.
- SQL Expertise: Develop and optimize SQL queries, stored procedures, and ETL scripts for data extraction and transformation.
- Machine Learning and Statistical Methods: Apply statistical methods and machine learning techniques (Python – Pandas, NumPy, Scikit-learn) to generate actionable insights.
- Data Visualization: Build dashboards, reports, and visualizations (Tableau, Power BI, or similar) to communicate findings.
- Collaboration: Collaborate with business and technical stakeholders to define requirements and ensure data accuracy.
- Documentation: Maintain clear documentation of processes, methodologies, and data definitions for transparency and reproducibility.
- Educational Background: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field.
- Hands-on Experience: Proven hands-on experience working with healthcare claims and provider data.
- Advanced SQL Skills: Advanced SQL expertise (data manipulation, aggregation, performance tuning).
- Python Proficiency: Strong Python skills with libraries such as Pandas, NumPy, and Scikit-learn.
- Data Visualization Tools: Proficiency with data visualization tools (e.g., Tableau, Power BI).
- Healthcare Data Standards: Familiarity with healthcare data standards (HIPAA, ICD, CPT, NPI) is a strong plus.
- Communication and Problem-Solving Skills: Excellent problem-solving and communication skills, with ability to work in fast-paced environments.
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