Data Scientist I: GenAI & Healthcare ML

Midwest Physicians Administrative Services, LLC dba Duly Health and Care; Highland Oaks (GA); On-site; USD 65,000 - 85,000; Full time

Benefits offered by this job

Tuition reimbursement - up to $5,250/​

Immediate 401(k) match

Paid volunteer time off (40 hours)

Parental leave up to 12 weeks at 100%

Job summary

Midwest Physicians Administrative Services, LLC dba Duly Health and Care is seeking an entry-level Data Scientist I. The role focuses on building predictive models and GenAI solutions to improve patient care and operations.

Training is provided and collaboration with a physician-led team is emphasized. The position supports the full lifecycle of data science work, from data exploration to deployment, with a growing emphasis on large language models and responsible AI practices.

Qualifications

• Bachelor's degree in a quantitative field or 2 years of related experience.
• 0-2 years of experience applying machine learning or statistical modeling.
• Proficiency in Python and SQL.
• Experience with LLMs, prompt engineering, or GenAI frameworks beneficial.
• Experience with cloud ML platforms (Azure preferred) beneficial.
• Healthcare or Epic experience not required; training provided.

Responsibilities

• Develop, validate, and document predictive models using enterprise data.
• Perform exploratory data analysis, feature engineering, and model evaluation.
• Support deployment, monitoring, and retraining of models on ML platform.
• Design and test GenAI solutions and evaluate prompt quality and safety.
• Collaborate with engineers and stakeholders to identify high-value AI use cases.
• Communicate technical results to non-technical audiences.

Skills

Python

SQL

Statistics

ML concepts

Education

Bachelor's degree in data science / statistics / CS or related field

Master's degree a plus

Tools

Databricks

MLflow

Azure

Pandas

Job description

Midwest Physicians Administrative Services, LLC dba Duly Health and Care is seeking an entry-level Data Scientist I. The role focuses on building predictive models and GenAI solutions to improve patient care and operations.

Training is provided and collaboration with a physician-led team is emphasized. The position supports the full lifecycle of data science work, from data exploration to deployment, with a growing emphasis on large language models and responsible AI practices.