Sr Manager, Data Scientist

Waystar • Lehi, UT

13d

About The 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 handson expertise in machine learning, a passion for mentoring, and the ability to deliver productiongrade solutions that improve customer outcomes in a regulated environment. The ideal candidate excels in dynamic, fastmoving environments and is comfortable creating clarity where direction may be shifting or evolving.

Requirements

• 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.
• 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

• 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.

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
• Number of Employees: 1-10 employees