Principal Data Scientist
Tendo
ETLPythonSaltStackSQL
Forward-Deployed Solutions Data Scientist
Waymark
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteSalary
💰 $98,000 - $176,250 per year
Job Level
Mid-LevelSenior
Tech Stack
PythonSaltStack
About the role
- Waymark is a team of healthcare providers, technologists, and builders whose mission is to bring the best healthcare to people with Medicaid benefits. Bridge the gap between data science innovation and real-world implementation; own onboarding, productionizing models, and supporting live deployments. Embed data science expertise directly into customer implementations; lead data onboarding, schema negotiation, and feature alignment for new customers. Support SaaS deployments and operationalize advanced tools related to ML and AI including reinforcement learning. Work closely with Implementation, Product, Engineering, and external partners to move innovations from R&D to production. Lead data onboarding and ingestion: manage schema mapping, clinical feature alignment, and QA for new customer data; resolve ingestion issues. Align data infrastructure across DS tools: build and maintain a unified data foundation across Data Science, Engineering, and Analytics. Operationalize DS innovations: transition tools such as maternal risk, HEDIS, and SARSA from prototypes into production pipelines. Scale Signal-as-a-Service: build infrastructure for Signal implementations, including ingestion pipelines, tagging, cohort logic, and metrics alignment. Support live Signal-only deployments: own production support, QA cycles, tagging updates, bug fixes, enhancements, and ROI tracking. Build and scale: design and deploy targeting logic to improve risk models; enable precise and clinically actionable predictions. Serve as a senior DS generalist: flex across implementation, infrastructure, and model development, bringing claims, health economics, and healthcare data expertise to delivery needs.
Requirements
- Education: Master's degree in Data Science, Computer Science, Biostatistics, or a related field. Python Proficiency: 5+ years of hands-on experience in Python, including data science and ML libraries. Healthcare Data Expertise: Strong background in claims data, clinical feature engineering, and healthcare workflows. Applied ML/AI Experience: Demonstrated ability to build, tune, and deploy ML models, including predictive modeling and patient segmentation. Implementation Skills: Experience leading data onboarding, schema negotiations, or large-scale data integrations in healthcare settings. Project Ownership: Proven ability to manage complex projects independently, align with multiple stakeholders, and deliver on timelines. Collaboration: Track record of thriving in cross-functional teams and working directly with customer-facing teams.
