Data Scientist

Reveleer; Northern (KY); Hybrid; USD 110,000 - 170,000; Full time

Benefits offered by this job

Competitive salary

Medical, Dental and Vision benefits

401k match

Generous PTO plan

Job summary

Reveleer is seeking a Data Scientist to build ML models for classification and information extraction, working with healthcare data to improve features and models. You will integrate ML pipelines with engineering teams and explore NLP/LLM solutions to advance our AI capabilities.

The role emphasizes independence, quick learning, and staying up-to-date with AI trends, in a remote opportunity that supports flexible work from anywhere in the United States.

Qualifications

• Bachelor's or Master's in a related field with practical ML experience.
• Strong Python and SQL skills with experience on large datasets.
• Track record of building ML solutions in production environments.
• Experience with cutting-edge AI tech to solve real problems.
• Self-motivated, fast learner with ability to work independently.

Responsibilities

• Build ML models for classification and information extraction.
• Analyze healthcare data to improve features and models.
• Develop production-ready ML pipelines with engineering teams.
• Explore NLP and LLM solutions for existing models.
• Stay current with new AI technologies and apply them.

Skills

Critical thinking

Fast learner

Independent work

Strong communication

Education

Bachelor's degree in related field

Master's degree in related field

Tools

Python

SQL

Machine Learning

NLP

MLOps

ETL processing

AWS

Job description

Data Scientist

Remote Opportunity

About Reveleer

Reveleer delivers a unified platform spanningrisk adjustment,quality improvement,clinical intelligence, andmember managementfor health plans and provider organizations navigating the complexity of value-based care. Trusted by 80+ customer organizations nationwide, the platform integrates data, analytics, and intelligent workflow automation into one governed system designed to support traceable documentation across diagnoses, quality measures, and submissions. With regulatory expertise and transparent, human-in-the-loop AI at its core, Reveleer supports organizations working to advance care quality, strengthen documentation integrity, and sustain the operational readiness needed to navigate audits with confidence.

WHAT YOU'LL DO:

• Build machine learning models in classification and information extraction
• Analyze rich and complex healthcare data to build and improve upon existing features and models
• Implement new solutions to improve the performance of the existing modelsWork with engineering teams to implement ML models into production and build ML pipelines
• Bring in the cutting-edge ML and NLP technologies into the existing models
• Explore LLM solutions for our AI models

ABOUT YOU:

• Bachelors + 3-5 years of experience OR Masters + 1-3 years of experience
• Strong Python skills
• Strong SQL skills, experience querying large datasets
• Track record of building ML solutions
• Track record of using cutting-edge AI technology to solve problems
• Critical thinking and creative mindset
• Be a quick learner and keep up to date with new AI technology
• Passion in new AI technology
• Self-motivated and be able to work independently

NICE TO HAVE:

• Experience in natural language processing
• Experience with large language models
• Experience in MLOps
• Experience with ETL processing
• Experience with cloud (AWS preferred)
• Experience in SaaS companies or in healthcare
• Experience in Quality or Risk Adjustment
• Experience with healthcare data

WHAT YOU’LL RECEIVE:

• Competitive salary
• Medical, Dental and Vision benefits
• 401kmatch
• Generous PTO plan

Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

Reveleer E-Verifies all new hires.

Reveleer is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, disability status or genetic information, in compliance with applicable federal, state and local law.