Sr. Manager, Data Science

Waystar • Atlanta, GA

55d

About The Position

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. 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 provides cloud-based technology that simplifies and unifies healthcare payments. Together, our technology, data and client support streamline workflows and improve financials for our clients, so that they can focus on their patients. 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 and fun.

Requirements

• 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.
• Strong programming skills in Python and familiarity with ML frameworks (PyTorch, TensorFlow, XGBoost).
• Excellent communication and collaboration skills.

Nice To Haves

• Experience with deep learning, NLP, and generative AI techniques (e.g., transformers, LLMs) preferred.
• Experience working with healthcare, financial, or claims data is a plus.

Responsibilities

• 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.
• 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.
• 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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Manager