Waystar is looking to solve business and clinical challenges in healthcare revenue cycle management (RCM) by developing and deploying innovative data science solutions that support its AltitudeAI platform and RCM products.
Requirements
- 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.
- Experience with machine learning techniques (classification, regression, clustering, NLP, LLMs, anomaly detection).
- Familiarity with model governance processes, including versioning, monitoring, and drift detection.
- Experience with data science tools and technologies, such as data visualization and data mining.
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.
Other
- 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.
- Excellent communication and collaboration skills.
- Ability to work in a regulated environment and ensure compliance with relevant laws and regulations.
- Ability to travel for business purposes (not specified, but may be required)
