Data Scientist

Waystar•Atlanta, GA

About The Position

ABOUT THIS POSITION 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.

Requirements

Must be a quick-learner with the ability to multi-task in a fast-paced environment
P resentation 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

Nice To Haves

Additional experience and/or education in healthcare, business operations or other areas is preferred.
An aptitude for medical informatics is preferred

Responsibilities

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 . F amiliarity 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)

Benefits

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.