Job Overview
Location
United States, Remote
Job Type
Full-time
Category
Data Science
Date Posted
June 3, 2026
Full Job Description
đź“‹ Description
- • Clean, transform, and analyze large, complex datasets to identify trends, patterns, and insights aligned with business objectives.
- • Assist in the development and implementation of statistical models, machine learning algorithms, and predictive analytics solutions.
- • Prepare and present findings and recommendations to both technical and non-technical stakeholders in a clear and concise manner.
- • Collaborate with engineering, product, and business teams to understand data needs and translate them into actionable data science initiatives.
- • Develop and maintain data visualizations and dashboards to monitor key performance indicators and track model performance.
- • Participate in code reviews and contribute to maintaining high-quality, well-documented data science code.
- • Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence.
- • Support data governance and data quality initiatives.
- • Use Python or R for data analysis and statistical modeling.
- • Utilize SQL for data extraction and manipulation.
- • Apply statistical concepts including hypothesis testing and experimental design to solve business problems.
- • Implement machine learning algorithms such as regression, classification, and clustering.
- • Employ data visualization tools including Tableau, Power BI, Matplotlib, or Seaborn.
- • Work independently with flexibility and authority over daily work priorities.
- • May provide work direction to other employees without authority to discipline or reward.
- • Engage with cloud platforms such as AWS, Azure, or GCP where applicable.
- • Work with big data technologies such as Spark when required.
- • Contribute to a culture of honesty, kindness, passion, curiosity, fanatical focus, best work always, making it happen, and joyful, optimistic, & fun.
🎯 Requirements
- • Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field
- • 1-3 years of professional experience in a data science, data analysis, or analytical role
- • Proficiency in Python or R for data analysis and statistical modeling
- • Strong understanding of statistical concepts, hypothesis testing, and experimental design
- • Experience with SQL for data extraction and manipulation
- • Familiarity with machine learning algorithms (e.g., regression, classification, clustering)
🏖️ Benefits
- • Competitive total rewards (base salary + bonus, if applicable)
- • Customizable benefits package with 3 medical plans and Health Savings Account company match
- • Generous paid time off: 3 weeks + 13 paid holidays for non-exempt; flexible time off + 13 paid holidays for exempt
- • Paid parental leave (including maternity and paternity leave)
- • Education assistance opportunities and free LinkedIn Learning access
- • Free mental health and family planning programs, including adoption assistance and fertility support
Skills & Technologies
About Waystar Holding Corp.
Waystar provides cloud-based revenue cycle management software to hospitals, health systems, physician practices, and payers. The platform automates claims processing, eligibility verification, prior authorization, denial management, and patient payment workflows. Its tools integrate with electronic health records and clearinghouses to reduce administrative costs and accelerate reimbursement. Serving thousands of providers across the United States, Waystar aggregates payer rules and reimbursement data to improve financial performance and compliance for healthcare organizations.
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