Data Scientist
Indexed description
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)
- 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
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)
- 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
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: R2986
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