Production ML Data Scientist, Model Pipelines

Upperline Health, Inc.; Nashville (TN); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401K

Paid time off

Job summary

Upperline Health, Inc. is seeking an Applied Data Scientist to build end‑to‑end model pipelines from medical claims and EHR data. You will design data pipelines, build predictive models in Python, and ensure models are deployed, monitored, and retrained in production environments.

Ideal candidates have 2–5+ years in data science or data engineering, strong SQL/Databricks and Python skills, and a track record of production models. Healthcare analytics experience is a plus.

Qualifications

• Degree in Data Science or a related quantitative field; Master’s preferred.
• 2–5+ years in data science, ML engineering, or data engineering with at least one production model.
• Proficiency in SQL/Databricks and Python; SAS experience optional.
• Experience with lookback/backtesting and evaluating model performance.
• Experience building scalable data pipelines and ML infrastructure.
• Strong ML workflow knowledge and version control (Git).
• Excellent problem-solving and clear communication skills.

Responsibilities

• Design and implement data pipelines to turn claims and EHR data into features.
• Build, validate, and deploy machine learning models in Python and SQL Databricks.
• Conduct backtests and lookback analyses to assess impact of predictions.
• Deploy models using shared tooling, manage artifacts, monitor and retrain.
• Ensure data quality, reproducibility, and performance of pipelines.
• Contribute to data governance and model deployment best practices.
• Explain results to non-technical leaders and tie to actions.

Skills

SQL/Databricks

Python

Lookback analysis

Backtesting

Data pipelines

ML workflows

Git

Communication

Education

Master's degree in Data Science or related field

Bachelor's degree acceptable

Tools

SAS (as needed)

Databricks

Job description

Upperline Health, Inc. is seeking an Applied Data Scientist to build end‑to‑end model pipelines from medical claims and EHR data. You will design data pipelines, build predictive models in Python, and ensure models are deployed, monitored, and retrained in production environments.

Ideal candidates have 2–5+ years in data science or data engineering, strong SQL/Databricks and Python skills, and a track record of production models. Healthcare analytics experience is a plus.