Data Scientist

Atlanta, GA, United States

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

ABOUT THE TEAM The Engineering + Product Development team at Waystar leads the product and software development, digital transformation, and data security efforts across the company. As a leader in healthcare technology, the department creates and manages cutting-edge, cloud-based solutions to help solve the industry’s financial and administrative challenges — enabling them to better focus on their patients and communities. The department offers a variety of positions. Roles include application engineers (.Net, PHP, Java), data science and analytics developers, product managers, project managers, architecture engineers, cloud and DevOps engineers, database administration, UX/UI, security, compliance, and management level roles. We make possible in Healthcare IT what was previously viewed as technically impossible. 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, 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 500,000 providers, 1,000 health systems and hospitals, and 5,000 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)

Generous paid time off starting at 3 weeks + 16 holidays, including your birthday and volunteer time

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.

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