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# Healthcare Navigation Data Scientist -Virtual

- **Company:** Alight Solutions LLC
- **Location:** Lincolnshire, IL, United States (Remote available)
- **Salary:** $100,000.0
- **Contract:** Permanent contract
- **Skills:** Big Data, Health Informatics, Clinical Data Repository, Healthcare Effectiveness Data and Information Set, Python (Programming Language), Machine Learning, Recommender Systems, SQL Databases, Information Technology
- **Published:** August 19, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pd9ysd0wqt

## About the Role

* Experience working with large, complex datasets using SQL and Python and/or R.
 * Experience developing data models, scoring frameworks, predictive analytics, or machine learning solutions.
 * Knowledge of healthcare datasets and concepts, including claims data, CPT, ICD, NPI, provider networks, and healthcare pricing.
 * Understanding of healthcare cost drivers, utilization analytics, quality measures, and provider performance metrics.
 * Analytical, problem-solving, and communication skills with the ability to translate complex findings into business insights.
 * Experience with provider search, recommendation systems, ranking models, or personalization algorithms.
 * Knowledge of clinical quality measures such as HEDIS, CMS, or related healthcare standards.
 * Experience applying machine learning techniques in healthcare, health technology, or navigation environments.
 * Bachelor's degree in data science, Statistics, Mathematics, Computer Science, Healthcare Analytics, or a related field. Advanced degree preferred.

## Description

* Analyze healthcare and book-of-business data to identify cost drivers, utilization trends, and opportunities to improve member outcomes and reduce healthcare spend.
 * Develop and enhance provider scoring, ranking, and recommendation methodologies using factors such as cost, quality, specialty alignment, and provider experience.
 * Integrate and transform complex healthcare datasets, including claims, provider, pricing, and network data, to support analytics and modeling initiatives.
 * Build, validate, and optimize statistical, predictive, and machine learning models that improve provider search relevance and personalization.
 * Evaluate business rules, scoring outputs, and recommendation performance to ensure alignment with clinical and business objectives.
 * Monitor key performance metrics, identify opportunities for continuous improvement, and recommend enhancements to data sources, models, and processes.
 * Partner cross-functionally with Product, Engineering, Clinical, and Business teams to translate analytical insights into actionable solutions and measurable business value.


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