Data Scientist

Reposted 6 Days Ago
Lehi, UT, USA
In-Office
Mid level
Healthtech • Payments • Software
Waystar provides market-leading technology that simplifies and unifies healthcare payments.
The Role
As a Data Scientist, you'll solve healthcare challenges using machine learning and predictive modeling while collaborating with various teams to enhance operational outcomes.
Summary Generated by Built In

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 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.

Skills Required

  • Bachelor's degree in Computer or Data Science, Statistics, or Mathematics
  • Demonstrated competency in predictive modeling using R/Python
  • Familiarity with SQL Server as RDBMS
  • Experience applying statistical and machine learning techniques
  • Ability to communicate with all levels of the Business

Waystar Compensation & Benefits Highlights

  • Leave & Time Off Breadth Time off is described as generous, including PTO, numerous paid holidays, and flexible time off options that support work–life balance. Policies such as volunteer time off and flexible/unlimited PTO for some roles further expand usable leave.
  • Healthcare Strength Benefits include multiple medical plan choices with HSA company matching and access to mental‑health resources. Additional wellness perks and coverage options contribute to a comprehensive healthcare offering.
  • Parental & Family Support Paid parental leave and family‑planning benefits, including adoption and fertility support, are included. These elements are positioned as supportive of different life stages.

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The Company
HQ: Louisville, KY
1,757 Employees
Year Founded: 2017

What We Do

Waystar harnesses the power of agentic AI, generative AI, and advanced automation to drive meaningful outcomes so providers reach peak financial performance and patients receive care with confidence. The Waystar platform is used by more than 1 million providers and supports over 60% of the U.S. patient population - and integrates with all major HIS and practice management systems. The financial and administrative challenges facing healthcare providers are daunting. Waystar’s technology platform simplifies and unifies healthcare payments across the revenue cycle. We empower healthcare organizations to automate manual work, gain insight into processes and performance, and ultimately collect more revenue. At Waystar, we know there’s a better, more efficient way forward. Let’s climb the mountain ahead of us to reach new heights in healthcare.

Why Work With Us

Our Waystar values serve as a compass to center our decisions, inspire action, and promote outstanding performance. We are dedicated to providing a diverse, inclusive workplace and fostering a shared sense of belonging.

Waystar Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 3 days a week
HQLouisville, KY
Duluth, GA
Lehi
Learn more

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