Data Scientist

Data ScientistDesigns, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.Job DescriptionWe are looking for an experienced Data Scientist, who has previously supported Healthcare software applications. The data scientist role involves solving technical, data-driven Healthcare problems using computer science, mathematical, predictive modeling and statistical methods, & knowledge. This person will interact with teams from Account Management to Application Engineering and R&D, to conduct detailed analysis and experimentation to maximize the utility of predictive modeling, analytic and machine learning across Waystar's product line. The role will focus on extending machine learning, predictive modeling, and analytic components to provide up-to-date intelligence to Healthcare providers maximizing outcomes. An ideal candidate for this position can approach problem-solving challenges independently, has a strong attention to detail, and enjoys working in a fast-paced, collaborative, and team-based environment.Complete familiarity with various statistical and machine learning techniques including: classification, regression, dimension reduction, clustering, and various multivariate methodsComplete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testingUnderstanding of orders of algorithms and how they scaleDemonstrated competency in R/Python predictive modelingDemonstrated 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 environmentOutstanding presentation abilities and the ability to communicate with all levels of the BusinessComfortable working in newly-forming, ambiguous areas where learning and adaptability are key skillsOutstanding communication and interpersonal skillsMust possess strong analytical, problem-solving, and writing skillsProficient in Microsoft Office applicationsDetail-orientedMaster of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics is preferredAn aptitude for medical informatics is preferredWaystar'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.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 holidaysPaid parental leave (including maternity + paternity leave)Education assistance opportunities and free LinkedIn Learning accessFree mental health and family planning programs, including adoption assistance and fertility support401(K) program with company matchPet insuranceEmployee resource groupsWaystar 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.