AI & Data Scientist

About the role

This position involves developing and deploying machine learning solutions to improve healthcare for seniors. You will build predictive models and AI-powered tools that enhance clinical documentation and ensure regulatory compliance.

Key facts

What you'll do

• Create end-to-end machine learning systems, from problem definition to model deployment and ongoing monitoring.
• Collaborate with product, engineering, and clinical teams to integrate data science into core business processes like claims processing and risk adjustment.
• Develop features for autonomous chart review, disease identification, and compliance forecasting.
• Build natural language processing and large language models for document analysis, including optical character recognition and named entity recognition.
• Improve payment accuracy and compliance by developing models and automated quality assurance processes to reduce review times and identify audit risks.
• Champion best practices in software engineering, including code reviews, reusable components, and clear documentation.
• Manage the full lifecycle of deployed models, including performance monitoring and anomaly detection.

Requirements

• 2-5 years of experience building and deploying production-grade data science or machine learning software with measurable impact.
• Strong foundation in software engineering principles, including data structures, algorithms, and API design.
• Proficiency in Python and SQL, with experience creating reusable code packages and command-line tools.
• Solid understanding of machine learning techniques, including tree ensembles, boosting, NLP/LLMs, and deep learning, as well as experimental design.
• Experience working with large, high-velocity, and complex datasets, with strong data manipulation skills.
• Familiarity with Git workflows, code reviews, and continuous integration/continuous deployment (CI/CD) practices.
• Excellent data visualization and communication skills to present findings effectively.
• Ability to thrive in ambiguous and fast-paced work environments.
• Bachelor's degree in Computer Science, Data Engineering, or a related technical field.

Nice to have

• Experience in the healthcare domain, particularly with CMS or Medicare Advantage operations.
• Experience with document understanding systems, including OCR, NER, and LLM pipelines.
• Familiarity with NoSQL databases and performance optimization techniques.
• Contributions to internal frameworks or open-source projects; published research.
• Master's or PhD in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field.

Skills & tools

• Python, SQL
• Cloud platforms (e.g., Databricks, Snowflake)
• MLflow, Git, CI/CD tools
• REST/GraphQL APIs, orchestration tools
• NLP/LLM technologies: OCR, NER, embeddings
• Strong written and verbal communication skills

Practical notes

• Visa sponsorship is not available for this role.
• Travel is not expected.