Optum's Enterprise Clinical Services team is seeking a Data Scientist to support the implementation, execution, and expansion of a growing portfolio of applied analytics, automation, AI, and operational solutions that improve healthcare delivery and operational efficiency. This role helps ensure that production models, automations, data pipelines, reporting solutions, optimization tools, and decision-support assets remain reliable, supported, documented, and continuously improved.
Working at the intersection of data science, engineering, and operations, you will own day-to-day execution and support for assigned production capabilities while contributing to new solution development. The role is well suited to someone who can quickly learn new datasets, systems, business domains, and analytical methods, and who wants to grow toward broader solution ownership.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:- Production stewardship
- Monitor and support production models, automations, decision-support tools, data pipelines, and reporting assets
- Troubleshoot production issues, coordinate resolution activities, and serve as a primary support contact for assigned capabilities
- Evaluate solution and model performance, investigate operational issues, identify root causes, and recommend improvements
- Maintain technical documentation, operational runbooks, monitoring guidance, and knowledge-sharing resources
- Support production reporting, validation, operational readiness, and continuous improvement activities
- Solution development and analytics
- Partner with senior data scientists and business leaders to operationalize research, pilot emerging capabilities, and transition solutions into production environments
- Develop and maintain scalable data pipelines, automated workflows, analytical processes, and application components
- Create dashboards and operational reports that translate complex analytics and model results for non-technical stakeholders
- Conduct ad hoc analyses supporting strategic and operational initiatives
- Support the design, testing, validation, and deployment of analytical and AI-enabled capabilities
- Perform peer reviews of code, analytical methods, and technical processes, and contribute reusable frameworks and best practices
- Capability development
- Build expertise across multiple portfolios, systems, and business domains
- Participate in cross-training, documentation, and knowledge-transfer activities that reduce concentrated ownership
- Expand ownership of analytical and technical initiatives as portfolio and business knowledge grows
- Communicate technical concepts, findings, risks, and recommendations clearly to technical and non-technical partners
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.
Required Qualifications:- 2+ years of post college experience
- 2+ years of experience in data analytics using Python
- 2+ years of experience designing, implementing, and maintaining automated processes or workflows
- 2+ years of experience creating data visualizations, dashboards, or business intelligence solutions using Power BI, Tableau, or similar tools
- 2+ years of experience with SQL, data engineering, data modeling, query optimization, or database development using Microsoft SQL Server or a similar platform
- 1+ years of experience applying analytical, statistical, optimization, or machine learning techniques to business problems
- Working knowledge of predictive modeling, machine learning, artificial intelligence, natural language processing, and their business applications
- Proven solid analytical, problem-solving, written, and verbal communication skills
- Proven ability to work independently in environments with ambiguity, incomplete documentation, and evolving requirements, and to learn new technologies and business domains quickly
Preferred Qualifications:- Experience supporting production analytical systems, models, data pipelines, or automation solutions
- Experience in healthcare analytics or healthcare operations
- Experience in call-center or contact-center operations
- Experience in logistics, operations research, supply chain, workforce optimization, scheduling, routing, network optimization, or Geographic Information Systems (GIS)
- Experience with Generative AI, large language models (LLMs), natural language processing (NLP), voice analytics, or AI-enabled quality assurance
- Experience administering analytics infrastructure, including compute resources, databases, job-scheduling platforms, and application environments used for data science or business intelligence solutions
*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
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 $72,800 - $130,000 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
