Principal AI Data Analyst - Remote or Hybrid from MN or DC
Role details
Job location
Tech stack
Job description
- Lead AI assisted analysis of data events and incident investigations using structured and unstructured data
- Design and implement automated pipelines to ingest, normalize, deduplicate, enrich, and classify large scale datasets
- Apply machine learning, entity resolution, and data fingerprinting techniques to identify impacted individuals and data elements
- Build and maintain production analytics solutions using Python, PySpark, and Databricks
- Develop and deploy AI driven workflows (including Generative AI use cases) to improve investigative speed, accuracy, and scalability
- Secure, preserve, and validate data sources to maintain analytical integrity and evidentiary standards
- Partner with security, legal, and privacy teams to translate complex analytical findings into clear, actionable insights
- Create dashboards, visualizations, and analytical summaries for executive and technical stakeholders
- Operate effectively in time sensitive environments while maintaining analytical rigor, objectivity, and confidentiality
- Contribute to the evolution of Optum's AI and analytics capabilities within the cybersecurity and data protection space
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Requirements
- Bachelor's degree or 6+ years of equivalent professional experience
- 5+ years of experience in advanced data analytics, data science, or AI focused analytical roles
- 5+ years of experience developing, testing, and deploying production grade Python code
- 3+ years of experience with DevOps and CI/CD tooling (GitHub Actions, Docker, Kubernetes, Terraform)
- 3+ years of experience with distributed data processing using PySpark and Databricks
- Solid expertise in SQL, data modeling, and data integration
- Experience working with data lake architectures and medallion schemas
- Proven ability to translate analytical outputs into business and risk based insights
Preferred Qualifications:
- Advanced degree in Data Science, Computer Science, or a related field
- Hands on experience with machine learning, predictive analytics, and classification models
- Experience delivering AI driven analytics within a cybersecurity or incident response environment
- Experience deploying Generative AI solutions into production analytics workflows
- Experience with entity resolution, MDM technologies, or identity matching
- Demonstrated familiarity with cloud platforms such as AWS, Azure, or Google Cloud
- Experience building AI models for file classification, data fingerprinting, or anomaly detection
- Demonstrated familiarity with eDiscovery platforms and large scale data investigations
- Proven solid understanding of modern analytics platforms and scalable data architectures
*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Benefits & conditions
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.