Waymark is seeking a Forward-Deployed Solutions Data Scientist to bridge the gap between data science innovation and real-world implementation as their risk prediction platform and related data science tools scale across multiple health plan and health system partners.
Requirements
- 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.
- Experience with novel AI causal inference methods and reinforcement learning approaches.
- Prior experience in a forward-deployed or customer solutions data science role at a healthcare technology company.
Responsibilities
- Lead data onboarding and ingestion: Manage schema mapping, clinical feature alignment, and QA for new customer data; resolve ingestion issues for existing deployments.
- Align data infrastructure across DS tools: Build and maintain a unified data foundation across Data Science, Engineering, and Analytics to reduce duplication and enable scale.
- Operationalize DS innovations: Transition new tools such as maternal risk, HEDIS, and SARSA from prototypes into production pipelines, ensuring reliability and reusability.
- Scale Signal-as-a-Service: Build infrastructure to support both internal and external Signal implementations, including ingestion pipelines, tagging, cohort logic, and metrics alignment.
- Support live Signal-only deployments: Own production support, including QA cycles, tagging updates, bug fixes, enhancements, and ROI tracking.
- Build and scale: Design and deploy targeting logic to improve existing risk models, enabling more precise and clinically actionable predictions.
- Serve as a senior DS generalist: Flex across implementation, infrastructure, and model development, bringing deep claims, health economics, and healthcare data expertise to critical delivery needs.
Other
- Education: Master’s degree in Data Science, Computer Science, Biostatistics, or a related field.
- Collaboration: Track record of thriving in cross-functional teams and working directly with customer-facing teams.
- COVID Vaccination: Waymark has adopted a policy on mandatory full vaccination to safeguard our employees, our partners, and the patients we serve from the hazard of COVID-19.
- Offer of employment is contingent upon successful completion of a background check.
