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# Data Scientist

- **Company:** WAYSTAR HEALTHCARE, LLC
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Data Analysis, Big Data, Health Informatics, C Sharp (Programming Language), Relational Databases, Medical Software, Machine Learning, Microsoft SQL Server, Data Processing, Information Technology, Data Analytics
- **Published:** October 18, 2026
- **Apply:** https://startup.jobs/sr-data-scientist-waystar-inc-10492971

## About the Role

* Demonstrated competency in R/Python predictive modeling
 * Demonstrated competency in RDBMS (e.g. SQL Server)
 * Ability to code in 1+ general purpose programming language (C#, Java, etc.)
 * Must be a quick-learner with the ability to multi-task in a fast-paced environment

 * Outstanding presentation abilities and the ability to communicate with all levels of the Business
 * Comfortable working in newly-forming, ambiguous areas where learning and adaptability are key skills
 * Outstanding communication and interpersonal skills
 * Must possess strong analytical, problem-solving, and writing skills
 * Proficient in Microsoft Office applications

 * Detail-oriented

 * Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics is preferred
 * An aptitude for medical informatics is preferred

## Description

* Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design information and user behavior
 * 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 groundbreaking new applications of machine learning and analytic technology to 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 root causes of problems and successes succinctly

WHAT YOU'LL NEED

 * Complete 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