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# Data Scientist

- **Company:** Waystar, Inc
- **Location:** Lehi, UT, United States
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Health Informatics, Relational Databases, Python (Programming Language), Machine Learning, Microsoft SQL Server, Data Processing, Data Analytics
- **Published:** July 23, 2026
- **Apply:** https://dejobs.org/x/x/88DE2BEC40EF4ED2A4FF32D27ADE7F8A/job/

## About the Role

We are looking for an experienced Data Scientist. The data scientist role involves solving data-driven Healthcare problems using various machine learning and predictive modeling methods. This person will primarily work as part of the larger Data Science team interacting Product Management and Application teams to conduct analysis and experimentation to maximize the utility of predictive modeling and data driven strategies across Waystar. applying machine learning, predictive modeling, and analytic components to maximize operational outcomes for healthcare providers. The ideal candidate for this position will have exposure to the healthcare revenue cycle, can approach problem-solving challenges independently, has a strong attention to detail, and enjoys working in a fast-paced, collaborative, and team-based environment., * Must be a quick-learner with the ability to multi-task in a fast-paced environment

 * Presentation abilities and the ability to communicate with all levels of the Business.
 * Comfortable working in ambiguous areas where learning and adaptability are key skills.
 * Competent communication and interpersonal skills
 * Proficient in Microsoft Office applications
 * Bachelor's degree in the fields of Computer or Data Science, Statistics, or Mathematics is required. Additional experience and/or education in healthcare, business operations or other areas is preferred.
 * An aptitude for medical informatics is preferred

## Description

* Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational value.
 * Works closely with Application Engineering teams to gather and process data, as well as in surfacing various analytically based features in core products
 * Works on new applications of machine learning and analytic technology within Healthcare, producing quantitative, justifiable results to guide feature planning
 * Translates real-world Healthcare problems to mathematical frameworks Works with Product Management, Marketing, and Sales as needed to promote sales and to incorporate market and customer feedback
 * Data exploration, hypothesis creation (from business and product goals), testing algorithms, scaling to large data-sets and validating results will be common tasks for this role
 * Understands, organizes, and communicates succinctly. Familiarity with various statistical and machine learning techniques including: classification, regression, dimension reduction, clustering, and various multivariate methods
 * Complete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testing
 * Demonstrated competency in R/Python predictive modeling
 * Demonstrated competency in RDBMS (e.g. SQL Server)


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