Waystar
Data Scientist
Waystar, Atlanta, Georgia, United States, 30383
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.
WHAT YOU'LL DO
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. 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
Demonstrated competency in R/Python predictive modeling
Demonstrated competency in RDBMS (e.g. SQL Server)
WHAT YOU'LL NEED
Must be a quick-learner with the ability to multi-task in a fast-paced environment
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 the fields of Computer or Data Science, Statistics, or Mathematics is required. Additional experience and/or education in healthcare, business operations or other areas is preferred.
An aptitude for medical informatics is preferred
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, optimistic & fun.
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 (https://twitter.com/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 + 13 paid holidays including 2 personal floating 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.
Job Category: Technology/Engineering
Job Type: Full time
Req ID: R2308
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.
WHAT YOU'LL DO
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. 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
Demonstrated competency in R/Python predictive modeling
Demonstrated competency in RDBMS (e.g. SQL Server)
WHAT YOU'LL NEED
Must be a quick-learner with the ability to multi-task in a fast-paced environment
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 the fields of Computer or Data Science, Statistics, or Mathematics is required. Additional experience and/or education in healthcare, business operations or other areas is preferred.
An aptitude for medical informatics is preferred
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, optimistic & fun.
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 (https://twitter.com/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 + 13 paid holidays including 2 personal floating 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.
Job Category: Technology/Engineering
Job Type: Full time
Req ID: R2308