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Agent Based Modeling Scientist Jobs in Minnesota

This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare ... Lead the design, development, and validation of simulation models (discrete-event, agent-based ...

Model risk governance * Data privacy and security requirements * AI explainability and control ... Familiarity with CRM-based agent platforms (e.g., Salesforce Agentforce) * Exposure to event-driven ...

Model risk governance * Data privacy and security requirements * AI explainability and control ... Familiarity with CRM-based agent platforms (e.g., Salesforce Agentforce) * Exposure to event-driven ...

Design and evaluate AI agents, multi-agent systems, orchestration frameworks, tool-use ... based systems. * Assess emerging model architectures and determine their applicability within a ...

Design and evaluate AI agents, multi-agent systems, orchestration frameworks, tool-use ... based systems. * Assess emerging model architectures and determine their applicability within a ...

Senior AI/ML Engineer

Eden Prairie, MN · On-site

$106K - $146K/yr

We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for healthcare. We ... You will work on large language models, retrieval-augmented generation pipelines, and agent-based ...

School Based Therapist

Sartell, MN · On-site

$48K - $65K/yr

Cloud, MN 56303 Working Model: In-person Employee Type: 1.0 FTE - Full Time At Sagent Behavioral ... Requirements: * Master's degree in one of the behavioral sciences or related fields from an ...

School Based Therapist

Sartell, MN · On-site

$48K - $65K/yr

Cloud, MN 56303 Working Model: In-person Employee Type: 1.0 FTE - Full Time At Sagent Behavioral ... Requirements: * Master's degree in one of the behavioral sciences or related fields from an ...

School Based Therapist

Saint Paul, MN · On-site

$49K - $67K/yr

Valley Crossing Elementary. 9900 Park Crossing, Woodbury, MN 55125 Working Model: In-person ... Requirements: * Master's degree in one of the behavioral sciences or related fields from an ...

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Agent Based Modeling Scientist information

What is the difference between Agent Based Modeling Scientist vs Data Scientist?

AspectAgent Based Modeling ScientistData Scientist
Required CredentialsMaster's or PhD in computer science, mathematics, or related fields; experience with modeling and simulationDegree in statistics, computer science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentResearch labs, academia, or industry focused on simulation and modeling projectsBusiness, tech companies, or consulting firms analyzing large datasets
Industry UsageResearch, simulation, complex systems modelingData analysis, predictive modeling, business insights

While both roles require strong analytical skills and programming knowledge, an Agent Based Modeling Scientist specializes in creating simulations of autonomous agents within complex systems, whereas a Data Scientist focuses on analyzing and interpreting large datasets to inform business decisions.

What are the key skills and qualifications needed to thrive as an agent based modeling scientist, and why are they important?

To thrive as an Agent Based Modeling Scientist, you need expertise in computational modeling, systems theory, and a strong background in mathematics or related fields, often supported by an advanced degree. Proficiency with programming languages such as Python, Java, or NetLogo and familiarity with simulation software are typically required. Analytical thinking, problem-solving, and the ability to communicate complex concepts clearly are valuable soft skills in this role. These skills are crucial for accurately developing, interpreting, and conveying insights from agent-based models to inform research or decision-making.

How does an agent based modeling scientist typically collaborate with interdisciplinary teams during a project?

Agent Based Modeling Scientists often work closely with experts from fields such as economics, epidemiology, engineering, and computer science to ensure that models accurately reflect real-world systems. Collaboration usually involves regular meetings to define system parameters, validate model assumptions, and interpret simulation results. Effective communication is essential, as team members may not always be familiar with agent-based modeling concepts. Sharing insights and translating technical findings for broader audiences helps ensure models are both robust and actionable for decision-makers.

What is an agent based modeling scientist?

An Agent Based Modeling (ABM) Scientist is a researcher or professional who develops computational models that simulate the actions and interactions of autonomous agents (such as individuals, groups, or entities) to study complex systems. These scientists use ABM techniques to analyze how the behavior of individual agents leads to collective outcomes, often in fields like biology, economics, social sciences, and epidemiology. Their work involves designing models, running simulations, and interpreting data to gain insights into system dynamics and emergent phenomena.
What are popular job titles related to Agent Based Modeling Scientist jobs in Minnesota? For Agent Based Modeling Scientist jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Agent Based Modeling Scientist jobs in Minnesota look for? The top searched job categories for Agent Based Modeling Scientist jobs in Minnesota are:
What cities in Minnesota are hiring for Agent Based Modeling Scientist jobs? Cities in Minnesota with the most Agent Based Modeling Scientist job openings:
Infographic showing various Agent Based Modeling Scientist job openings in Minnesota as of July 2026, with employment types broken down into 1% Locum Tenens, 91% Full Time, 6% Part Time, and 2% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.

Principal Data Scientist - Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

Full-time

Retirement

Re-posted 21 hours ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

189th of 887 rated healthcare providers


Job description

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.
Transform Healthcare Through AI Innovation at Optum
Optum is a global organization delivering care, powered by data and technology, to help millions of people live healthier lives. At Optum.ai, we are not just witnessing the AI transformation in healthcare-we are leading it. Our mission is clear: to simplify healthcare with AI, turning insight into action at a scale few organizations in the world can match.
As part of the Optum.ai team, you'll work at the intersection of cutting-edge artificial intelligence and real-world healthcare impact. From reducing administrative burden for providers to anticipating patient needs and improving access to quality care, your work will help solve some of healthcare's most complex challenges-and directly improve health outcomes for millions of people.
You'll collaborate with world-class talent across data science, engineering, product, and healthcare domains, backed by the reach and stability of Optum and UnitedHealth Group. Here, responsible innovation matters. So do comprehensive benefits, meaningful career growth, and the opportunity to make a tangible difference-advancing health equity and creating a simpler, more connected healthcare experience for everyone.
This is more than a job. It's a chance to shape the future of healthcare through the transformative power of AI.
Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for healthcare. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the healthcare journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform.
As a Principal Data Scientist, you will serve as a senior individual contributor responsible for designing and delivering advanced AI/ML and Generative AI systems that address complex healthcare and operational challenges. You will lead the development of large-scale machine learning solutions, architect GenAI and agent-based systems, and drive technical innovation across high-impact AI initiatives. This role requires deep hands-on expertise in machine learning, LLM systems, distributed AI architectures, and production-grade ML platforms.
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:
  • Lead development of advanced AI/ML systems using techniques such as deep learning, representation learning, time-series modeling, survival analysis, and probabilistic modeling to solve complex healthcare problems
  • Develop Generative AI and LLM-powered solutions including retrieval-augmented generation (RAG) pipelines, domain-adapted LLMs, and AI copilots for enterprise workflows
  • Architect scalable AI and ML systems including feature engineering pipelines, feature stores, model training workflows, model serving infrastructure, monitoring systems, and automated retraining pipelines
  • Build agentic AI and autonomous workflows using agent frameworks, agentic skills, MCP integrations, and agent-to-agent (A2A) communication patterns
  • Advance model evaluation, reliability, and monitoring strategies including offline metrics, LLM benchmarking, safety testing, hallucination mitigation, and drift detection
  • Drive responsible AI practices including explainability, interpretability, bias detection, fairness evaluation, and governance aligned with enterprise and regulatory standards
  • Serve as a senior technical authority in AI/ML by mentoring data scientists and reviewing complex modeling approaches and architectures
  • Collaborate with engineering, platform, and product teams to operationalize scalable AI/ML and GenAI systems within enterprise platforms

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:
  • Bachelor's degree
  • 10+ years of experience in machine learning, artificial intelligence, or applied data science with 7+ years of designing and deploying production machine learning systems
  • 8+ years of experience in Python-based machine learning development using frameworks such as PyTorch, TensorFlow, or equivalent along with solid SQL skills
  • 5+ years of experience deploying production ML systems including model serving, monitoring, ML lifecycle management, and collaboration with engineering teams
  • 3+ years of experience developing Generative AI or LLM-based applications including prompt engineering, RAG pipelines, LLM evaluation, and safety guardrails
  • 1+ years of experience building or evaluating agentic AI systems including AI agents, agentic skills, Model Context Protocol (MCP), agent-to-agent (A2A) interaction patterns, or autonomous workflows

Preferred Qualifications:
  • Experience working with distributed ML systems and large-scale data platforms such as Spark, Databricks, Ray, or Kubernetes-based ML systems
  • Experience deploying AI solutions on cloud platforms such as AWS, Azure, or GCP
  • Experience working with healthcare datasets and standards such as claims, EHR, ICD, CPT, SNOMED, FHIR, or HL7
  • External contributions such as publications, patents, or open-source projects in machine learning or generative AI

*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 $112,700 to $193,200 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.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.
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