Job Description
ABOUT THIS POSITION
The Data Science focus specializes in extracting insights and solving complex problems using advanced statistical analysis machine learning and predictive modeling. Collects cleans and analyses large datasets to uncover patterns and make data-driven decisions. Responsibilities include developing algorithms building predictive models and communicating findings through data visualization. This role often requires a PhD in a statistics field. This job family is in the professional level category and works independently with flexibility and authority over daily work priorities. Incumbents in this job level category may provide work direction to other employees but would not typically have the authority to discipline or reward other employees. There are different levels available that provide clarity on contribution expectations based on knowledge application problem solving and collaboration.WHAT YOU'LL DO
* Clean transform and analyze large complex datasets to identify trends patterns and insights relevant to 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 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.
WHAT YOU'LL NEED
* Bachelor's degree in Computer Science Statistics Mathematics Economics or a related quantitative field. Master's degree preferred.
* 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) and their applications.
* Experience with data visualization tools (e.g. Tableau Power BI Matplotlib Seaborn).
* Excellent problem-solving skills and a strong analytical mindset.
* Ability to communicate complex data findings effectively to diverse audiences.
* Familiarity with cloud platforms (e.g. AWS Azure GCP) and big data technologies (e.g. Spark) is a plus.
ABOUT WAYSTAR
Through a smart platform and better experience Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.
Waystar’s healthcare payments platform combines innovative cloud-based technology robust data and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers 1K+ hospitals and health systems and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work always; making it happen; and joyful optimistic & fun.
Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ surveys since 2012. The Waystar platform supports more than 500000 providers 1000 health systems and hospitals and 5000 payers and health plans. For more information visit waystar.com or follow @Waystar on Twitter.
WAYSTAR PERKS
- Competitive total rewards (base salary + bonus if applicable)
- Customizable benefits package (3 medical plans with Health Saving Account company match)
- We offer generous paid time off for our non-exempt team members starting with 3 weeks + 13 paid holidays including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
- Paid parental leave (including maternity + paternity leave)
- Education assistance opportunities and free LinkedIn Learning access
- Free mental health and family planning programs including adoption assistance and fertility support
- 401(K) program with company match
- Pet insurance
- Employee resource groups
Waystar is proud to be an equal opportunity workplace. We celebrate value and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race color religion age sex national origin disability status genetics marital status protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.
This applies to all terms and conditions of employment including recruiting hiring placement promotion termination layoff recall transfer leaves of absence compensation and training.
Skills Required
- Bachelor's degree in Computer Science Statistics Mathematics Economics or related field
- 1-3 years of professional experience in data science data analysis or analytical role
- Proficiency in Python or R
- Experience with SQL for data extraction and manipulation
- Familiarity with machine learning algorithms
- Experience with data visualization tools such as Tableau or Power BI
Waystar Compensation & Benefits Highlights
- Healthcare Strength—Company materials describe multiple medical plan options with HSA contributions and access to mental‑health resources; dental and vision coverage are included.
- Leave & Time Off Breadth—Offerings include generous PTO paid holidays volunteer time off and paid parental leave for maternity paternity and adoption.
- Retirement Support—A 401(k) plan with company matching is available and highlighted across public benefit descriptions.
Waystar Insights
What We Do
Waystar harnesses the power of agentic AI generative AI and advanced automation to drive meaningful outcomes so providers reach peak financial performance and patients receive care with confidence.The Waystar platform is used by more than 1 million providers and supports over 60% of the U.S. patient population - and integrates with all major HIS and practice management systems.The financial and administrative challenges facing healthcare providers are daunting. Waystar’s technology platform simplifies and unifies healthcare payments across the revenue cycle. We empower healthcare organizations to automate manual work gain insight into processes and performance and ultimately collect more revenue.At Waystar we know there’s a better more efficient way forward. Let’s climb the mountain ahead of us to reach new heights in healthcare.
Why Work With Us
Our Waystar values serve as a compass to center our decisions inspire action and promote outstanding performance. We are dedicated to providing a diverse inclusive workplace and fostering a shared sense of belonging.
Waystar Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
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Date Posted
06/01/2026
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