Data/AI Scientist II

At Waymark, our data science work is grounded in a specific and meaningful challenge: using claims, EHR, and care worker data to help community health workers, social workers, pharmacists, and care coordinators deliver better care to Medicaid patients.

As a Data/AI Scientist II, you will contribute to building the models and tools that these care teams rely on , risk models, care gap prediction, and ML/AI applications including LLM-based tools that translate raw clinical data into actionable guidance.

Key Responsibilities:

• Build and validate ML and AI models on claims and EHR data for care delivery use cases including risk stratification and care gap identification, under guidance of senior data scientists
• Support the development of LLM-based tools and AI applications for care team workflows
• Develop and maintain Python code for data processing, model development, and ML pipelines, following software engineering best practices including version control, code review, and testing
• Collaborate with engineering, product, and analytics teams to understand requirements and translate them to technical solutions
• Develop Healthcare Subject Matter Expertise: Show a strong interest in healthcare data structures, quantitative methods, and data science applications in healthcare

Minimum Qualifications:

• A Master’s degree in Data Science, Computer Science, Statistics, or a related field.
• Python Proficiency: 3+ years of hands-on Python experience including academic and project work , demonstrated through a GitHub portfolio or equivalent
• Solid foundations in statistical and machine learning methods, including classical ML and an understanding of modern AI and LLM applications
• Strong SQL skills and comfort working with large, messy real-world datasets
• Experience working with Git and collaborating in a team codebase
• Strong communication skills and ability to work closely with cross-functional stakeholders

Preferred Qualifications:

• 1-2 years of industry data science experience
• Exposure to healthcare data (claims or EHR) through coursework, research, or work experience
• Familiarity with ML experimentation practices , experiment tracking, model validation, reproducible workflows
• Genuine curiosity about healthcare and its intersection with technology

Hiring Range: The salary range for this position is $98,000 - $131,000.

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: Basic life insurance to give you peace of mind.
• Paid Time Off: 20 vacation days, accrued over the year, plus 11 paid holidays.
• Parental Leave: 16 weeks of paid leave for birthing parents after six months of employment, and 8 weeks of bonding leave for non-birthing parents.
• Retirement Savings: Access to a 401(k) plan with a company contribution, subject to a vesting schedule.
• Commuter Benefits: Convenient options to support your commute needs.
• Professional Development Stipend: A dedicated stipend supports professional development and growth.