Optum Tech, part of UnitedHealth Group, is looking for a Data Scientist to develop advanced analytical and machine learning solutions that support enterprise AI initiatives. You will focus on translating complex data into actionable insights and AI‑ready models for programs such as Defensive AI, risk intelligence, and AI‑driven automation.
What You'll Do
- Develop and deploy statistical models and machine learning algorithms using Python
- Perform exploratory data analysis (EDA) to identify trends, risks, and actionable insights
- Design and evaluate models for classification, regression, clustering, and anomaly detection
- Build and optimize ML models supporting Defensive AI, automation, and intelligence use cases
- Perform feature engineering and model tuning for performance, scalability, and explainability
- Prepare and validate datasets for GenAI, LLM, and advanced ML workflows
- Partner with data engineering and platform teams to operationalize models
- Support model monitoring, performance tracking, and continuous improvement
- Ensure models align with enterprise standards for security, governance, and compliance
- Collaborate closely with Data Engineering, AI Platform, Product, and Security teams
- Translate business problems into data science solutions and measurable outcomes
- Communicate insights and model results clearly to technical and non‑technical stakeholders
What We're Looking For
- Experience working with large, complex, enterprise‑scale datasets
- GenAI / LLM data preparation and understanding of prompt‑ready datasets
- Proven solid Python for data analysis, ML modeling, and automation
- Proven applied statistics & machine learning (classification, regression, anomaly detection)
- Proven feature engineering & model evaluation techniques
- Proven SQL for data analysis and large‑scale dataset exploration
Nice to Have
- Experience working in Agile, cross‑functional product teams
- Knowledge of cloud platforms (Azure preferred)
- Familiarity with MLOps, model monitoring, and CI/CD for ML
- Proven exposure to Databricks / Spark / Big Data ecosystems
Technical Stack
- Python
- SQL
- Azure
- Databricks
- Spark
Team & Environment
Collaborate closely with Data Engineering, AI Platform, Product, and Security teams.
Our culture is guided by inclusion, caring, connecting, and growing together.
