Sr. Data Scientist

Waystar • Lehi, UT

2d

About The Position

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 Work s closely with Application E ngineering , P roduct M anagement , and Operational teams in designing, experimenting-with , and implementing machine learning and analytical systems applied to design information and user behavior Work s closely with Application E ngineering teams to gather and process data , as well as in surfacing various analytically - based features in core products Work s on groundbreaking new applications of machine learning and analytic technology to H ealthcare, producing quantitative, justifiable re sults to guide feature planning Translate s real-world H ealthcare pro blems to mathematical framework s Work s with P roduct M anagement, M arketing , and S ales as needed to promote sales and to incorporate market and customer feedback D ata 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 Understand s , organize s , and communicate s 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-tas k in a fast-paced environment Outstanding presentation abilities and the ability to communicate with all levels of the B usiness Comfortable working in newly - forming , ambiguous areas where learning and adaptability are key skill s 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 a ptitude 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 on Twitter. 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 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.

Requirements

• 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-tas k in a fast-paced environment
• Outstanding presentation abilities and the ability to communicate with all levels of the B usiness
• Comfortable working in newly - forming , ambiguous areas where learning and adaptability are key skill s
• 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

Nice To Haves

• An a ptitude for medical informatics is preferred

Responsibilities

• Work s closely with Application E ngineering , P roduct M anagement , and Operational teams in designing, experimenting-with , and implementing machine learning and analytical systems applied to design information and user behavior
• Work s closely with Application E ngineering teams to gather and process data , as well as in surfacing various analytically - based features in core products
• Work s on groundbreaking new applications of machine learning and analytic technology to H ealthcare, producing quantitative, justifiable re sults to guide feature planning
• Translate s real-world H ealthcare pro blems to mathematical framework s
• Work s with P roduct M anagement, M arketing , and S ales as needed to promote sales and to incorporate market and customer feedback
• D ata 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
• Understand s , organize s , and communicate s root causes of problems and successes succinctly

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees