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# Data Scientist, Data & AI

- **Company:** TALENTHOP LLC
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Artificial Intelligence, Data Security, Python (Programming Language), Machine Learning, Natural Language Processing, Standard Sql, Large Language Models, Data Analytics, Data Management
- **Published:** October 9, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pqelbl9emx

## About the Role

* Bachelor's degree required; master's degree preferred.
 * Minimum 5 years of experience in healthcare or data analytics.
 * At least 2 years working with healthcare payor organizations or systems.
 * Proficient in SQL and at least one programming language such as Python or R.
 * Experience in statistical modeling, machine learning, and AI.
 * Strong presentation and communication skills.
 * Experience in strategic planning, workflow optimization, and team mentorship.

## Description

The DATA SCIENTIST role is central to converting healthcare data into reliable metrics, models, and AI tools that inform clinical and operational decisions. This position collaborates closely with physician leaders and operational teams to assess patient care metrics, physician productivity, and disease cohort statuses. The role leverages advanced data platforms and technologies to ensure data accuracy and usability, significantly impacting the organization's ability to deliver data-driven healthcare improvements., * Build and validate trusted datasets and measures from healthcare data platforms.

 * Develop and deploy statistical and machine learning models addressing clinical and operational questions.
 * Apply natural language processing and large language models to extract structured information from clinical texts.
 * Deliver user-facing reports and conversational data agents with appropriate data security.
 * Ensure patient data protection in compliance with regulatory standards.
 * Communicate findings and methodologies clearly to clinical and executive stakeholders.
 * Promote best practices in coding, peer review, and mentoring within the analytics team.