Forward-Deployed Solutions Data Scientist

• Bold Builders: We tackle the toughest challenges in care delivery by harnessing the power of community and technology.
• Humble Learners: We seek feedback, embrace diverse perspectives, and welcome challenges to our assumptions.
• Experiment to Improve: We use data to inform decisions and continuously assess our performance.
• Focused Urgency: Our mission drives us to act swiftly and relentlessly in pursuit of meaningful results.

About This Role

Waymark is seeking a Forward-Deployed Solutions Data Scientist to bridge the gap between data science innovation and real-world implementation. As our risk prediction platform and related data science tools scale across multiple health plan and health system partners, we need a dedicated data scientist to own the technical lift of onboarding, productionizing models, and supporting live deployments.

This role embeds data science expertise directly into customer implementations. You’ll 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. You’ll also play a critical role in scaling our SaaS products, building infrastructure that makes implementations repeatable, clinically sound, and production-ready.

This is a highly versatile role for a data scientist who thrives at the intersection of technical execution, healthcare data expertise, and cross-functional collaboration. You’ll work closely with Implementation, Product, Engineering, and external partners, ensuring our innovations move from R&D to production with speed, rigor, and impact. This position reports directly to the VP of Data Science and AI.

Key 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.

Minimum Qualifications

• 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.

Preferred Qualifications

• 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.
• Familiarity with risk prediction platforms and healthcare quality measurement (e.g., HEDIS).
• Peer-reviewed publications in healthcare ML, AI and econometrics.

Why This Role Matters

• This role ensures our data science innovations don’t stay as prototypes. By embedding technical ownership into customer implementations, you’ll:
• Accelerate onboarding and ingestion for 5–7 new customers per year.
• Scale our SaaS products to meet customer demand.
• Implement ML and AI tools into production.
• Reduce executive lift on delivery by taking ownership of technical onboarding and live deployments.
• Build repeatable, clinically sound infrastructure that ensures long-term scalability.

Salary Range

US Employees in San Francisco/Bay Area, New York City - $122,500 - $176,250

US Employees in Boston, Los Angeles, Seattle, Washington DC - $112,700 - $162,150

US Employees in Arington, Denver, San Diego, Sacramento - $107,800 - $155,100

US Employees in Albany, Atlanta, Austin, Baltimore, Central/Southern, Charlotte, Chicago, Dallas/Fort Worth, Detroit, Houston, Las Vegas, Miami, Milwaukee, Philadelphia, Portland, Research Triangle, Salt Lake City, Twin Cities - $98,000 - $141,000

US Employees in Baton Rouge, Birmingham, Charleston, Cincinnati, Cleveland, Daytona Beach, Indianapolis, Nashville, New Orleans, Omaha, Phoenix, Pittsburgh, St. Louis, Tampa - $95,060 - $136,770

In addition to salary, we offer a comprehensive benefits package. Here’s what you can expect:

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.

Offer of employment is contingent upon successful completion of a background check.

Don’t check off every box in the requirements listed above? Please apply anyway! Studies have shown that some of us may be less likely to apply to jobs unless we meet every single qualification. Waymark is dedicated to building a supportive, equal opportunity, and accessible workplace that fosters a sense of belonging – so if you’re excited about this role but your past experience doesn’t align perfectly with every preferred qualification in the job description, we encourage you to still consider submitting an application. You may be just the right candidate for this role or another one of our openings!