# Data/AI Scientist II

**Company**: Waymark
**Location**: US - Remote
**Work arrangement**: remote
**Experience**: mid
**Job type**: full-time
**Salary**: $98,000 - $131,000
**Category**: IT
**Industry**: Healthcare

**Apply**: https://job-boards.greenhouse.io/waymark/jobs/4718610005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_d3ad8c09-6b7

## Description

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.

## Skills

### Required
- Python
- Machine Learning
- SQL
- Git
- Healthcare Data Structures

### Nice to have
- Industry Data Science Experience
- Healthcare Data
- ML Experimentation Practices

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/waymark/jobs/4718610005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)