Waymark
Healthcare
SeniorDataScientist
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optimal for Senior candidates.
“Senior Data Scientist at Waymark. Skills: AI/ML models, LLM-based tools, Data pipelines. Lead AI/ML model development. Deploy AI/ML models”
Industry & Context.
What They're Looking For.
Must Have
Master's degree, 1 year experience, Python programming, SQL queries, Tabular datasets, Automated data processing, Machine learning models, Git version control
Nice to Have
PhD preferred
What You'll Do.
Lead AI/ML model development
Design machine learning prediction models
Design LLM-based tools
Create technical documentation
Create system architecture
Create project specifications
Build Python-based data pipelines
Optimize Python-based data pipelines
Conduct research on healthcare data
Conduct research on predictive modeling
Manage multiple projects
Supervise junior data scientists
Provide technical leadership
How You'll Work.
Team & Collaboration
Cross-functionally with product; Cross-functionally with engineering; Cross-functionally with care teams
Full Job Description
Senior Data Scientist Location: San Francisco, CA About Waymark Waymark is a mission-driven team of healthcare providers, technologists, and builders working to transform care for people with Medicaid benefits. We partner with communities to deliver technology-enabled, human-centered support that helps patients stay healthy and thrive. We’re designing tools and systems that bring care directly to those who need it most—removing barriers and reimagining what’s possible in Medicaid healthcare delivery. Key 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. Minimum Qualifications 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
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