Note: The job is a remote job and is open to candidates in USA. Waymark is a mission-driven team of healthcare providers, technologists, and builders working to transform care for people with Medicaid benefits. The Senior Data Scientist will lead the development and deployment of AI/ML models in clinical workflows, collaborating cross-functionally to optimize healthcare decision-making and patient targeting.

Responsibilities

• Lead development and deployment of AI/ML models in clinical workflows for healthcare decision-making, patient targeting, and clinical intervention optimization
• Duties include: design machine learning prediction models and LLM-based tools including multi-agent scheduling systems
• Create technical documentation, system architecture, and project specifications
• Collaborate cross-functionally with product, engineering, and care teams to define goals and timelines
• Build and optimize Python-based data pipelines for claims data and CRM systems
• Conduct research on healthcare data structures and predictive modeling techniques for publication in peer-reviewed journals
• Manage multiple projects independently and supervise junior data scientists, providing technical leadership and mentorship. Telecommuting available. Multiple positions

Skills

• Master's degree in Data Science, Computer Science, Statistics, Engineering, or a closely related quantitative field and one (1) year of experience in a data science or machine learning role, which may include industry experience, internships, or research assistantships, performing the following duties:
• Programming in Python for data processing and machine learning development, using pandas, NumPy, and scikit-learn
• Writing SQL queries to extract, transform, and analyze data from relational or structured datasets
• Working with tabular or event-driven datasets, including data cleaning, normalization, and schema alignment
• Implementing automated data processing and model training pipelines, including feature engineering and data transformation
• Developing and evaluating machine learning models using performance metrics and validation techniques
• Supporting transition of machine learning models from development to production, including packaging, automation, or model versioning
• Using Git for version control in a collaborative development environment

Benefits

• Stock Options:Opportunity to invest in the company’s growth.
• Work-from-Home Stipend:A dedicated stipend for your first year to help set up your home office.
• Medical, Vision, and Dental Coverage:Comprehensive plans to keep you and your family healthy.
• Life Insurance: