ABOUT THIS POSITION
As the Sr Manager, Data Science, you will be a technical and operational leader reporting to the VP of Data Science. Your primary responsibility will be to lead a team of data scientists, driving the development and deployment of innovative data science solutions that support Waystar’s AltitudeAI™ platform and healthcare revenue cycle management (RCM) products. This role requires strong hands-on expertise in machine learning, a passion for mentoring, and the ability to deliver production-grade solutions that improve customer outcomes in a regulated environment.WHAT YOU'LL DO
Team Leadership & Project Execution
Lead, mentor, and develop a team of data scientists, fostering a culture of technical excellence, collaboration, and continuous learning.
Manage day-to-day operations of data science projects, ensuring timely delivery and alignment with business objectives.
Oversee the implementation and monitoring of machine learning models, ensuring accuracy, compliance, and reliability in production settings.
Collaborate with product, engineering, and analytics teams to integrate data science solutions into core platform offerings.
Technical Execution & Innovation
Apply advanced machine learning techniques (classification, regression, clustering, NLP, LLMs, anomaly detection) to solve business and clinical challenges in healthcare RCM.
Develop and maintain robust model governance processes, including versioning, monitoring, and drift detection.
Support the evaluation and adoption of new technologies and tools to enhance data science capabilities.
Participate in the design and execution of A/B tests and experiments to measure the impact of deployed models.
Collaboration & Communication
Communicate technical findings and project status to stakeholders, including product managers and engineering leads.
Contribute to the development of technical documentation and best practices for the data science team.
Support the team’s professional development through coaching, training, and knowledge sharing.
WHAT YOU'LL NEED
Bachelor’s or Master’s degree in Computer Science, Statistics, Engineering, or a related quantitative field.
7+ years of experience in data science or machine learning, with at least 2 years in a leadership or team lead role.
Hands-on expertise in the full machine learning lifecycle, including model development, deployment, and monitoring.
Experience with deep learning, NLP, and generative AI techniques (e.g., transformers, LLMs) preferred.
Strong programming skills in Python and familiarity with ML frameworks (PyTorch, TensorFlow, XGBoost).
Experience working with healthcare, financial, or claims data is a plus.
Excellent communication and collaboration skills.
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
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.