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# Principal Data Scientist - Irvine, CA - 2388090

- **Company:** Unitedhealth Group Inc
- **Location:** Irvine, CA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $226,500.0 - $315,054.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Algorithm Design, Data Analysis, Microsoft Azure, Big Data, Health Informatics, Cloud Database, Databases, Data Visualization, Distributed Computing Environment, Apache Hadoop, Apache HBase, Apache Hive, IBM Business Systems, Python (Programming Language), Machine Learning, Apache Oozie, Oracle (Applications), SQL Databases, Sqoop, Tableau (Software), Web Services, Workflow Management Systems, Data Processing, Pytorch, Large Language Models, Deep Learning, Pandas, Matplotlib, Pyspark, Information Technology, Machine Learning Operations, Databricks
- **Published:** September 6, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3380097852&tx=YT909CTT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

focused on deep learning and LLM approaches; Lead research talks and white paper reviews; and Conduct research meant to ensure alignment of models to ethical standards to ensure machine learning models perform without harm to users. Position reports to Irvine, CA office and allows for partial telecommuting.

REQUIREMENTS: Employer will accept a Bachelor's degree in Computer Science, Engineering, Information Technology, or related field and seven (7) years of progressive, post-baccalaureate experience in the job offered or in a related computer occupation. Position requires experience in the following:

-7 years of experience in Machine learning and data science, including data analysis, algorithm design, model architecture specification, and implementation of machine learning algorithms;

-7 years of experience in Programming in Python and Java, focused on libraries including PyTorch for deep learning and Pandas for data manipulation and analysis;

-7 years of experience in Medicare Advantage Chart Review program contributing to healthcare analytics and compliance-driven data initiatives;

-5 years of experience in Big data technologies, including Apache Hadoop, PySpark, Sqoop, Oozie, Hive, and Java-based web services for distributed data processing and workflow orchestration;

-5 years of experience in Microsoft Azure, Databricks, including cloud-based data processing, model deployment, and scalable architecture design;

-5 years of experience in IBM Business Rule Management System (BRMS) for rule-based decision automation and enterprise logic management;

-5 years of experience in Visualization Tools including Tableau, Seaborn, Matplotlib Libraries;

-5 years of experience in Database including SQL, Oracle, HIVE, and HBase;

-3 years of experience in Managing data science teams performing deep learning architectures and scalable model development;

-3 years of experience in Medicaid and ACA; and

-3 years of experience in Medicare star rating and quality measures.

## Description

DUTIES: Initiate and drive novel method development in machine learning from first principles to deployed solutions. Duties include: Embed Artificial Intelligence in Risk Adjustment prospective and retrospective programs; Provide innovative modifications and extensions to existing deep learning and statistical learning architectures; Perform statistical inquiries into new areas and identify growth points of untapped information; Partner with Engineering, Business and Technical Product teams to meet project commitments by rapidly delivering value to customers via technology solutions; Mentor junior data scientists to successfully deliver software and business value; Improve alerts, monitors, and telemetry; Identify new means of approaching problems in the medical coding field; Design novel methods in machine learning and launch them to production; Analyze trends in medical coding and production performance of statistical models; Direct the research direction of a multidisciplinary team


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