Data Scientist

UnitedHealth Group • Minnetonka, MN

8d • Remote

About The Position

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 inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization 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, upfront pricing that members can see before they seek care—without compromising coverage, quality, or affordability.
The Surest Technology team is 100%25 dedicated to this product and its success in the market. Our work focuses on building and evolving platforms that power the Surest experience end to end, from benefit configuration and provider data to members facing digital experiences. We prioritize solutions that reduce manual effort, improve accuracy, and integrate seamlessly across a complex healthcare ecosystem.
You’ll enjoy the flexibility to work remotely from Minnesota as you take on some tough challenges.

Requirements

• Bachelor’s degree OR equivalent experience
• 3+ years of professional experience in Data Science or a related role (or combination of experience and education)
• 1+ years of experience writing Python and/or Pyspark for Data Analysis
• 1 + years of experience writing SQL for Data Analysis
• 1+ years of experience working with code version control (e.g., GitHub)
• Intermediate level of understanding of how to approach a problem with AI/ML solutions
• Intermediate level of proficiency creating and delivering data-oriented presentations to expert stakeholders
• Beginner level of proficiency with software development principles
• Ability to identify opportunities for AI/ML methods to provide business value

Nice To Haves

• Experience contributing to a large, CI/CD software project
• Experience taking a model from concept to evaluation to production
• Experience with model explainability and bias/fairness evaluation tools and processes
• Advanced understanding of Pyspark
• Experience with cloud tools: Databricks, AWS, Azure, Ascend
• Experience with software development/deployment tools: Python IDE(s), Pytest, Jira, GitHub, Jenkins, GutHub Actions
• Experience with additional programming tools: Shell scripts, Terraform, Docker

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
• Enable the Data Science team to review and ingest new data as it becomes available
• Share responsibility for data collection, pipelines, and reports/dashboards that allow democratized access to data
• Work with SMEs to understand even the most nuanced context behind pipeline design decisions, input data sources, and the outputs they produce
• Influence roadmap and priorities by contributing data driven recommendations and proposing new applications of Data Science techniques to address business problems
• Build with solid foundations for repeatable analyses
• 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
• Participating 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 technical partners (e.g., Data Engineers) to ensure that assets developed for analytical/modeling purposes are stable, reliable, and reproducible
• Communicate complex analytical findings clearly to expert and non-technical audiences

Benefits

• Paid Time Off which you start to accrue with your first pay period plus 8 Paid Holidays
• Medical Plan options along with participation in a Health Spending Account or a Health Saving account
• Dental, Vision, Life& AD&D Insurance along with Short-term disability and Long-Term Disability coverage
• 401(k) Savings Plan, Employee Stock Purchase Plan
• Education Reimbursement
• Employee Discounts
• Employee Assistance Program
• Employee Referral Bonus Program
• Voluntary Benefits (pet insurance, legal insurance, LTC Insurance, etc.)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level