Team Leadership & Project Execution 

• Lead, mentor, and develop a team of data scientists, fostering a culture of technical excellence, collaboration, and continuous learning. 

• Manage daytoday operations of data science initiatives, ensuring timely delivery and alignment with strategic and product objectives. 

• Oversee the development, implementation, and monitoring of machine learning models, ensuring accuracy, compliance, and reliability in production settings. 

• Collaborate closely with product, engineering, and analytics teams to integrate data science solutions into core platform offerings. 

• Ensure structured communication and alignment across crossfunctional teams, helping drive clarity and consistency in direction and decisionmaking. 

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. 

• Effectively manage ambiguity and navigate evolving requirements to ensure highquality technical outcomes. 

Collaboration & Communication 

• Communicate technical findings, project status, and risks 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. 

• Master’s degree in Computer Science, Statistics, Math, Data Science, 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. 

• Handson 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.