Sr Data Scientist - AI or ML Engineering Focus - Remote

About the role

Senior Data Scientist (Grade 28) with an AI/ML engineering focus, responsible for end‑to‑end development, evaluation, and production deployment of machine‑learning models for UHC COVE projects. The role owns MLOps pipelines, integrates models with data and software engineering teams, and drives technical innovation and operational excellence, working remotely (U.S.) with occasional office attendance for certain locations.

About the company

UnitedHealthcare, part of UnitedHealth Group, is a large health‑tech organization focused on simplifying the health‑care experience, creating healthier communities and removing barriers to quality care. Its mission is to help people live healthier lives, make the health system work better for everyone, and advance equity and environmental responsibility.

Requirements

• Bachelor’s degree in Computer Science, Data Science, or a related field.
• 5+ years of experience in data science, machine learning, or related roles with a solid statistical modeling foundation.
• Proven experience deploying and maintaining ML models in production, including source control, CI/CD, model versioning, reproducibility, and monitoring.
• Proficiency in Python and PySpark for model development and automation.
• Strong SQL skills for data extraction and manipulation.
• Ability to work independently on complex technical problems, troubleshoot data, model, or pipeline issues, and automate repetitive tasks.
• Experience with MLOps and cloud tools such as Databricks, MLflow, and GitHub Actions, and familiarity with infrastructure‑as‑code.
• Experience mentoring junior data scientists or leading technical workstreams.
• Familiarity with the Databricks Lakehouse platform, Spark, Delta Lake, and optimizing Spark jobs.
• Exposure to real‑time or streaming data analysis, including Kafka or streaming analytics.