Sr Data Scientist I

Waystar • Lehi, UT • 12h ago

ABOUT THIS POSITION

The Sr. Data Scientist Role provides will work with Waystar Product, Technical Teams and the Data Science Teams to define, develop and deploy meaningful predictive analytics and data driven strategies to drive value within the Waystar platform. The Senior Data Scientist will not only actively define and develop predictive tools but will provide leadership and skill development in tools and processes within the Data Science.

WHAT YOU'LL DO

Works closely with Product Management and Operational teams to design, experiment, and deploy predictive and data driven models and functions to drive core value from our product platform.

Works closely with Product and Data Engineering teams to gather, understand and process data utilized within our product platforms and from outside sources.

Apply Machine Learning to real-world Healthcare problems that provide material opportunity to improve outcomes.

Works with Product Management, Marketing, and Sales as needed to promote sales and growth and address customer feedback.

Apply proven standardized process to define, develop, deploy, monitor and maintain models and strategies within the organization

Translate and communicate Machine Learning to the organization that addresses business metrics and outcomes

Manage workload and expectations with minimal direct oversight

Provide process and skill development leadership to other team members

Work collaboratively with Data Science team that allows for the entire team to increase quality and quantity of team output

Organize, plan and execute on large multi-model and multi month projects

WHAT YOU'LL NEED

Bachelor's degree in mathematics, Statistics, Data Science, Computer Science or other relevant area is required

5+ years of Data Scientist experience in teams that work directly with core product enablement

Deep familiarity with various statistical and machine learning techniques, including: classification, regression, dimension reduction, clustering, and various multivariate methods

Proven experience developing junior data scientists in technical, process and real-world aspects of applying of machine learning to real problems

Complete familiarity with approaches to estimate performance of machine learning models

Track record of working in growing and/or implementing automated MLOps platforms

Proven track record in attribute generation and utilizing reusable attribute stores

Bonus Points

Advanced degree in a STEM area or Business field preferred

Knowledge of Healthcare Revenue Cycle Operations and Data Flows preferred, specifically claims, payer payments, and patient interactions

Snowflake / Snowpark experience

Skills Overview

Verbal and written communication

Relational Database/SQL

R/Python Machine Learning

Team development

MLOps experience

Microsoft Office Applications

Proven track record with model and strategy improvement

Proven track record in data driven strategies applying model output to drive real-world value

Demonstrated competency in R/Python machine learning

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 early adoption areas with significant ambiguity

Outstanding interpersonal skills and focus on collaborative team driven organization

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)

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.

Job Category: Technology/Engineering

Job Type: Full time

Req ID: R3252

Waystar

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