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Agent Based Modeling Scientist Jobs in Iowa (NOW HIRING)

Senior Systems Operations Engineer

Des Moines, IA · Hybrid

$102K - $139K/yr

... agent-based workflows * Understanding of AI operational concerns such as model observability, prompt/configuration change management, data drift, failure modes, and integration of AI signals into ...

New

... model development or data science. This leader will lead a small, early-stage team of AI engineers ... Guide the development of a shared AI services layer (e.g., prompt libraries, RAG pipelines, agent ...

... model development or data science. This leader will lead a small, early-stage team of AI engineers ... Guide the development of a shared AI services layer (e.g., prompt libraries, RAG pipelines, agent ...

... model development or data science. This leader will lead a small, early-stage team of AI engineers ... Guide the development of a shared AI services layer (e.g., prompt libraries, RAG pipelines, agent ...

AI Engineer

Des Moines, IA · On-site

$50K - $112K/yr

Computer and Information Science, Computer Engineering, Computer Management, Management Information ... and model-routing techniques - Designing agent harnesses and implementing context engineering ...

Showing results 41-60

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 Iowa? For Agent Based Modeling Scientist jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Agent Based Modeling Scientist jobs in Iowa look for? The top searched job categories for Agent Based Modeling Scientist jobs in Iowa are:
What cities in Iowa are hiring for Agent Based Modeling Scientist jobs? Cities in Iowa with the most Agent Based Modeling Scientist job openings:

Senior Systems Operations Engineer

Wells Fargo

Des Moines, IA • Hybrid

$102K - $139K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 3 days ago

New


Wells Fargo rating

7.8

Company rating: 7.8 out of 10

Based on 707 frontline employees who took The Breakroom Quiz

89th of 170 rated banks


Job description

About this role:

Wells Fargo is seeking a Site Reliability Engineer that combines technical expertise with a passion for automation, resilience, and operational excellence. This role will partner with engineering, and application teams to design, build, and support highly available, scalable, and secure technology platforms while driving reliability improvements through observability, automation, and continuous service optimization. The ideal candidate will possess strong problem-solving skills, a customer-focused mindset, and the ability to lead incident response, root cause analysis, and reliability initiatives that reduce risk and improve the overall stability of enterprise services.


In this role, you will:

  • Lead or participate in managing all installed systems and infrastructure within the Systems Operations functional area

  • Contribute in increasing system efficiencies and lowering the human intervention time on related tasks

  • Review and analyze moderately complex operational support systems, application software, and system management tools to ensure the highest levels of systems and infrastructure availability

  • Work with vendors and other technical personnel for problem resolution

  • Lead team to meet technical deliverables while leveraging solid understanding of technical process controls or standards

  • Collaborate with vendors and other technical personnel to resolve technical issues and achieve highest levels of systems and infrastructure availability


Required Qualifications:

  • 4+ years of Systems Engineering, Technology Architecture experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

  • 3+ years of demonstrated experience leading Production Application Support at scale, including ITIL-aligned incident, problem, and change management

  • 3+ years of experience implementing application Observability through tools such as AppDynamics, Splunk, Elastic, BigPanda (AIOPS), Grafana, Microsoft Application Insights

  • 3+ years of experience supporting largescale Java and .NET applications; strong RDBMS expertise (Oracle, MSSQL); NoSQL experience (MongoDB) a plus


Desired Qualifications:

  • Experience supporting AI/ML-enabled production systems, including reliability, scalability, and operational risk management for LLM- or agent-based workflows

  • Understanding of AI operational concerns such as model observability, prompt/configuration change management, data drift, failure modes, and integration of AI signals into incident response and SRE practices.

  • Thorough understanding of application environment implementations, including on prem, client server, on prem cloud, hybrid cloud and public cloud

  • Experience using and configuring Continuous Integration Continuous Deploy (CICD) tools including Jenkins, Artifactory, Harness as well as Terraform

  • Proven experience reducing operational toil through automation (Ansible or equivalent), including runbook automation and selfhealing patterns

  • Experience operating resilient systems, including traffic management (F5, AVI), fault tolerance, and data replication


Job Expectations:

  • Periodic availability for evening and weekend On-Call

  • Expectation of at least 3 days per week in office

Locations:

  • 1525 W. W.T. Harris Blvd, Charlotte, North Carolina

  • 800 S. Jordan Creek Pkwy, Des Moines, Iowa

  • 550 S. 4th St., Minneapolis, Minnesota

  • 401 W. Las Collinas Blvd., Dallas, Texas

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

$41.83 - $74.04

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. VisitBenefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement

Posting End Date:

13 Aug 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visitDisability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.


What Wells Fargo employees say

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Wells Fargo logo

About Wells Fargo

Sourced by ZipRecruiter

Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 trillion in assets, proudly serves one in three U.S. households and more than 10% of small businesses in the U.S., and is a leading middle market banking provider in the U.S. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 41 on Fortune's 2022 rankings of America's largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health and a low-carbon economy.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1852

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