AI/ML Engineer
UnitedHealth Group
- Location
- Minnetonka, Minnesota
- Work model
- On-Site
- Level
- Entry
- Salary
- $98.5k – $176k/yr
Skills
About this role
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Surest is a consumer centric health plan designed to remove barriers to care through simple, transparent experiences. Our plans replace deductibles and coinsurance with clear, up front pricing that members can see before they seek care-without compromising coverage, quality, or affordability. The Surest Technology team is 100% dedicated to this product and its success in the market. Our work focuses on building and evolving the platforms that power the Surest experience end to end, from benefit configuration and provider data to member facing digital experiences. We prioritize solutions that reduce manual effort, improve accuracy, and integrate seamlessly across a complex healthcare ecosystem. You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities
Daily work in the areas of AI/ML modeling, data-oriented software development & infrastructure, programming for data analysis, and data visualization Development and ownership of measuring the effectiveness of our product Share responsibility for the data collection, pipelines, and reports/dashboards that allow democratized access to data Influence roadmap and priorities by contributing data driven recommendations Communicate complex analytical findings clearly to expert and non-technical audiences Build with solid foundations for repeatable analyses Enable the Data Science team to review and ingest new data as it becomes available Participate in cross-functional implementation of data science products Work with stakeholders and others on assigned projects to ensure that value is being delivered at a regular pace Work with SME's to understand even the most nuanced context behind what is recorded in our data Work with technical partners (e.g., Data Engineers) to ensure that assets developed for analytical/modeling purposes are stable, reliable, and reproducible Contribute readable, maintainable, and testable code to ensure that datasets created and models trained will deliver expected results Read and contribute to others' code to help it meet the same standards Propose new applications of Data Science to business problems, or help develop these proposals Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI 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
High School Diploma/GED 3+ years of experience in Data Science, Software Delivery, or a related role OR a combination of experience and education 1+ years of experience in writing Python and/or Pyspark for software or Data Analysis 1+ years of experience in writing SQL for Data Analysis, or programmatic Database Interactions 1+ years of experience working on a CI/CD software project 1+ years of experience working with code version control (e.g., GitHub) Required Qualifications: Experience contributing to a large, CI/CD software project Experience taking a model from concept to evaluation to production Experience with model explain ability and bias/fairness evaluation tools and processes Advanced understanding of Pyspark Experience with cloud tools (Databricks, AWS) Experience with