Note: The job is a remote job and is open to candidates in USA. Optum is a global organization that uses technology to improve healthcare delivery and help people live healthier lives. The Data Scientist will support production analytics, automation, AI, data pipelines, reporting, optimization, and decision-support solutions while developing new capabilities and continuously improving existing systems. The role also involves troubleshooting, documentation, dashboard creation, ad hoc analysis, testing, deployment, peer review, and knowledge transfer.
Responsibilities
- 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
- 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
- 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
Skills
- 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
- 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
Benefits
- Comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution
- Career development opportunities
- Remote work from anywhere within the U.S.; for hires in the Minneapolis or Washington, D.C. area, required office attendance is a minimum of four days per week
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