Senior Data Scientist

• Works closely with the Data Science team and other stakeholders to design, experiment, and deploy predictive and data driven models and strategies that drive value within the Waystar product platform.
• Works 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 healthcare revenue cycle outcomes.
• Apply proven standardized processes 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

• 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 mentoring junior data scientists in technical, process and real-world aspects of applying of machine learning to real problems
• Familiarity with approaches to estimate performance of machine learning models
• Familiarity working in, or implementing, automated MLOps platforms
• Familiarity with 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