5-7 years of experience in data science, particularly within healthcare software applications
Strong insight into statistical and machine learning techniques including classification and regression
Demonstrated competency in R, Python, and SQL for predictive modeling
Ability to code in one or more programming languages such as C# or Java
Master’s degree or higher in Computer Science, Statistics, Mathematics preferred
Excellent communication and presentation skills suitable for all business levels
Quick learner capable of multitasking in a fast-paced setting
Responsibilities
Collaborates with engineering and product teams to design and implement machine learning systems
Gathers and processes data with engineering teams to enhance product features
Develops new applications of machine learning for healthcare, delivering quantifiable results
Transforms real-world healthcare challenges into mathematical frameworks
Engages with product management and sales to incorporate customer feedback
Explores data, generates hypotheses, tests algorithms, and validates results
Clarifies and communicates root causes of problems and successes effectively
Benefits
Customizable benefits package with various health plans and company match for health savings accounts
Generous paid time off including 3 weeks plus 13 holidays, with flexible options for exempt staff
Paid parental leave, including maternity and paternity
Access to education assistance and free LinkedIn Learning resources
Comprehensive mental health and family planning support programs
401(K) plan with company matching contributions
Pet insurance and employee resource groups for community support
Full Job Description
ABOUT THIS POSITION
We 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.
WHAT YOU'LL DO
Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design information and user behavior
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 groundbreaking new applications of machine learning and analytic technology to 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 root causes of problems and successes succinctly
WHAT YOU'LL NEED
Complete familiarity 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
Understanding of orders of algorithms and how they scale
Demonstrated competency in R/Python predictive modeling
Demonstrated 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 environment
Outstanding presentation abilities and the ability to communicate with all levels of the Business
Comfortable working in newly-forming, ambiguous areas where learning and adaptability are key skills
Outstanding communication and interpersonal skills
Must possess strong analytical, problem-solving, and writing skills
Proficient in Microsoft Office applications
Detail-oriented
Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics is preferred
An aptitude for medical informatics is preferred
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
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
About Waystar
Waystar is a healthcare technology company that simplifies and unifies the revenue cycle with innovative technology that allows clients to collect more with less cost and less stress. The company's cloud-based platform streamlines workflows, improves financials and reduces administrative waste for healthcare providers. Waystar's technology automates the entire revenue cycle, from patient access to reimbursement, for more than 450,000 healthcare providers across the United States. The company was formed in 2017 through the merger of Navicure and ZirMed.
