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Optum Data Science Jobs (NOW HIRING)

UnitedHealth Group

Data Scientist - Remote

Minnetonka, MN · On-site +1

$112K - $193K/yr

Optum is a global organization that delivers care, aided by technology to help millions of people ... The role partners closely with Data Scientists, Product Teams, and Platform Teams to deploy AI ...

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$112K

$205.5K

How much do optum data science jobs pay per year?

As of Jul 15, 2026, the average yearly pay for optum data science in the United States is $111,980.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $157,000.00 per year, depending on experience, location, and employer.

What types of projects do data scientists at Optum typically work on?

Data scientists at Optum commonly work on projects that involve analyzing large healthcare datasets to identify trends, improve patient outcomes, and optimize operational efficiency. This may include developing predictive models for disease risk, healthcare cost forecasting, or creating data-driven solutions to enhance clinical workflows. Team members frequently collaborate with clinicians, business analysts, and IT specialists, ensuring their work has a real-world impact on healthcare delivery. These projects often require innovative problem-solving and the ability to communicate insights to cross-functional teams, making the work both challenging and rewarding.

What are the key skills and qualifications needed to thrive in the Optum Data Science position, and why are they important?

To thrive as an Optum Data Science professional, a strong background in statistics, machine learning, data analysis, and a degree in a quantitative field such as computer science or mathematics are essential. Experience with programming languages like Python or R, data visualization tools, and familiarity with big data platforms (e.g., Hadoop or Spark) are commonly required, along with relevant certifications. Analytical thinking, strong communication, and the ability to collaborate effectively with both technical and non-technical stakeholders are critical soft skills. These skills enable data scientists at Optum to extract meaningful insights from complex healthcare datasets and drive impactful business decisions.

What is an Optum Data Science job?

An Optum Data Science job involves using data analytics, machine learning, and statistical methods to derive insights that improve healthcare outcomes and operational efficiency. Data scientists at Optum work with large datasets to identify trends, develop predictive models, and support decision-making for healthcare providers, payers, and patients. They collaborate with cross-functional teams to drive innovation in areas such as patient care optimization, fraud detection, and cost reduction. Strong programming skills, domain knowledge in healthcare, and expertise in data modeling are typically required for this role.

What cities are hiring for Optum Data Science jobs? Cities with the most Optum Data Science job openings:
What are the most commonly searched types of Optum Data Science jobs? The most popular types of Optum Data Science jobs are:
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Optum Data Science jobs near you
Infographic showing various Optum Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $111,980 per year, or $53.8 per hour.

AI/ML Tech Lead / Architect - Gen AI & Agentic AI)

Nanda Technologies

Minneapolis, MN • On-site

Contractor

Posted 29 days ago

Job description

Email: paul@nandatechnologies.com

Job ID: JPC 6845-1-11/17

Job Title: AI/ML Tech Lead / Architect (Gen AI & Agentic AI)
Location: Minneapolis, MN (Onsite – Local Candidates Only)

Required exp: 12+ years

Visa: USC, GC, H4EAD
Client: Optum
Duration: Long-Term Contract

Key Responsibilities

  • Lead the architecture, design, and development of AI/ML, Gen AI, and Agentic AI solutions.
  • Provide hands-on technical leadership to engineering and data science teams.
  • Architect scalable and secure AI systems, integrating LLMs, vector databases, and agent frameworks.
  • Collaborate with product, data, and engineering teams to define technical roadmaps and solution strategies.
  • Oversee deployment, optimization, and performance tuning of AI solutions in production environments.
  • Ensure adherence to enterprise standards, security guidelines, and best practices.

Required Skills

  • 10+ years of experience in AI/ML engineering, solution architecture, or related roles.
  • Deep expertise in Generative AI, LLMs, prompt engineering, and Agentic AI systems.
  • Strong hands-on experience with Python, ML frameworks (TensorFlow, PyTorch), and LLM ecosystems.
  • Experience with vector databases (FAISS, Pinecone, Weaviate, etc.) and retrieval-augmented generation (RAG).
  • Solid understanding of cloud platforms (AWS/Azure/GCP) and MLOps pipelines.
  • Proven background in architecting enterprise-grade AI solutions.
  • Experience with multi-agent frameworks, orchestration tools, or autonomous agent systems.
  • Background in healthcare or payer/provider environments.
  • Certifications in AI/ML, cloud, or architecture disciplines.