Data/AI Scientist

Data/AI Scientist (Full Remote)

Role overview

Build and validate machine learning and AI models that help care teams deliver better care to Medicaid patients. Work closely with senior data scientists and engineers, and collaborate with cross-functional teams (engineering, product, analytics) to turn healthcare needs into technical solutions.

Key missions

• Contribute to building models and tools for care teams serving Medicaid patients.
• Collaborate with engineering, product, and analytics teams to understand requirements and translate them into technical solutions.
• Develop and maintain Python code for data processing, model development, and ML pipelines using software engineering best practices.

Requirements

• Python proficiency with 3+ years hands-on experience (academic and project work acceptable), demonstrated via GitHub or equivalent.
• Strong communication skills and ability to work with cross-functional stakeholders.
• 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.
• Master’s degree in Data Science, Computer Science, Statistics, or related field.
• Experience with Git and collaborating in a team codebase.
• Exposure to healthcare data (e.g., claims or EHR) via coursework, research, or work experience.
• Familiarity with ML experimentation practices (experiment tracking, model validation, reproducible workflows).
• 1–2 years of industry data science experience.
• Genuine curiosity about healthcare and its intersection with technology.

Nice to have

• Not explicitly stated, but encouraged to apply even if you don’t meet every qualification.