Data Scientist

ABOUT THIS POSITION

We are looking for an experienced Data Scientist. The 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 with Product Management and Application teams to conduct analysis and experimentation to maximize the utility of predictive modeling and data-driven strategies across the organization.

The ideal candidate 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.

Work closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational value.

Work closely with Application Engineering teams to gather and process data, as well as to surface various analytically based features in core products.

Develop new applications of machine learning and analytic technology within healthcare, producing quantitative, justifiable results to guide feature planning.

Translate real‑world healthcare problems to mathematical frameworks.

Collaborate with Product Management, Marketing, and Sales as needed to promote sales and incorporate market and customer feedback.

Engage in data exploration, hypothesis creation from business and product goals, testing algorithms, scaling to large data sets, and validating results. These tasks will be common throughout the role.

Understand, organize, and communicate findings succinctly.

Familiarity with statistical techniques and machine learning methods including classification, regression, dimensionality reduction, clustering, and various multivariate methods.

Full familiarity with empirical performance evaluation of models, including hold‑out sets, cross‑validation, and leave‑one‑out testing.

Demonstrated competency in R and Python predictive modeling.

Demonstrated competency in RDBMS (e.g., SQL Server).

Must be a quick learner with the ability to multi‑task in a fast‑paced environment.

Strong 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 Computer Science, Data Science, Statistics, or Mathematics is required.

Additional experience and/or education in healthcare, business operations, or related areas is preferred.

An aptitude for medical informatics is preferred.

• Competitive total rewards (base salary + bonus, if applicable)
• Customizable benefits package with three medical plans and Health Savings Account company match
• Generous paid time off for non‑exempt team members, starting with three weeks plus thirteen paid holidays, including two personal floating holidays
• Flexible time off for exempt team members plus thirteen paid holidays
• Paid parental leave (including maternity and paternity leave)
• Education assistance opportunities and free Linked In 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

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.

Waystar is proud to be an equal opportunity workplace.