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Internship Agent Based Modeling Jobs in Oregon (NOW HIRING)

360training

Data Architect Manager

... agent-based workflows. * Strong SQL skills and the ability to design, review, debug, and optimize data pipelines, models, and transformations. * Experience improving legacy data environments with ...

Generations Home Loans

Home Loan Consultant

Redmond, OR · On-site

$150K - $300K/yr

Demonstrated ability to consistently generate and maintain agent-based referral business ... A structured partnership model designed to provide defined expectations, measurable performance ...

Generations Home Loans

Home Loan Consultant

Redmond, OR · On-site

$150K - $300K/yr

Demonstrated ability to consistently generate and maintain agent-based referral business ... A structured partnership model designed to provide defined expectations, measurable performance ...

Generations Home Loans

Home Loan Consultant

Redmond, OR · On-site

$150K - $300K/yr

Demonstrated ability to consistently generate and maintain agent-based referral business ... A structured partnership model designed to provide defined expectations, measurable performance ...

Standard, The

Actuarial Internship

Portland, OR · Remote

$23.50 - $26.50/hr

Modeling Interns work full time during the internship. It is expected that the internship will be ... Individual pay rates will be determined based upon number of actuarial exams passed (Hourly Pay ...

Generations Home Loans

Mortgage Loan Originator

Bend, OR · On-site

$150K - $300K/yr

Demonstrated ability to consistently generate and maintain agent-based referral business ... A structured partnership model designed to provide defined expectations, measurable performance ...

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Internship Agent Based Modeling information

What is an internship in agent based modeling?

An Internship in Agent Based Modeling is a temporary position, typically for students or recent graduates, where you learn and assist in developing computational models that simulate the actions and interactions of autonomous agents. The role involves using programming and mathematical techniques to study complex systems in fields like economics, biology, or social sciences. Interns often work with simulation tools, analyze data, and contribute to research projects under the supervision of experienced modelers. This internship helps you gain practical experience in computational modeling and can enhance your understanding of how agent-based simulations are used to solve real-world problems.

What are the typical projects an intern in agent based modeling might work on, and how do they contribute to the team's goals?

As an intern in Agent-Based Modeling, you can expect to work on projects involving the simulation of complex systems, such as social networks, economic markets, or biological processes. Your tasks may include developing and testing models, analyzing simulation results, and assisting with data collection or visualization. These projects are integral to the team's research or product development goals, as your models help generate insights, validate hypotheses, and inform decision-making. Collaboration with data scientists, researchers, and software engineers is common, providing valuable exposure to interdisciplinary teamwork and real-world problem-solving.

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

To thrive as an Internship Agent Based Modeling, you need a solid background in mathematics, computer science, or a related field, along with experience in modeling and simulation techniques. Familiarity with programming languages such as Python or Java, and tools like NetLogo, AnyLogic, or Repast, is typically required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex concepts clearly are standout soft skills. These skills and qualities are crucial for developing accurate models, interpreting simulation results, and collaborating effectively within research or development teams.

What is the difference between Internship Agent Based Modeling vs Internship Data Analyst?

AspectInternship Agent Based ModelingInternship Data Analyst
Required CredentialsRelevant coursework in modeling, programming, or simulation; sometimes a background in computer science or mathematicsDegree in statistics, mathematics, or related field; proficiency in data analysis tools
Work EnvironmentResearch labs, simulation environments, or industry settings focusing on modeling complex systemsBusiness, finance, healthcare, or tech companies analyzing data sets
Employer & Industry UsageUsed in research, government agencies, and industries requiring simulation of agent behaviorsCommon across various industries for decision-making and reporting

Internship Agent Based Modeling focuses on developing and analyzing simulation models of agents within complex systems, often requiring programming skills. In contrast, Internship Data Analysts primarily interpret and visualize data to support business decisions. Both roles involve data handling but differ in methods and application areas.

What are popular job titles related to Internship Agent Based Modeling jobs in Oregon?

For Internship Agent Based Modeling jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Internship Agent Based Modeling jobs in Oregon look for?

The top searched job categories for Internship Agent Based Modeling jobs in Oregon are:

What cities in Oregon are hiring for Internship Agent Based Modeling jobs?

Cities in Oregon with the most Internship Agent Based Modeling job openings:

Internship Agent Based Modeling jobs near you

Data Architect Manager

Remote

360training
Education • 201 - 500 employees
Learn more about 360trainingexternal

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 24 days ago

Job description

360training
At 360training, we’re more than an online training provider—we’re on a mission to empower people and organizations to thrive. As a fast-growing leader in online and live training across multiple industries, we deliver regulatory-approved training and certifications that power careers and businesses.
Our culture is grounded in two values: Deliver Results and Do the Right Thing. We operate as a collaborative, performance-driven organization where data plays a critical role in shaping strategy and outcomes. If you’re excited to turn analytics into impact and influence meaningful decisions, 360training is the place for you.
This is a remote position and we are looking to hire in the following states:
AZ, FL, GA, NJ, PA, TN, TX, UT, ID, MI, MO and WI
THERE IS NO VISA SPONSORSHIP FOR THIS ROLE
Role Summary
360training is looking for a hands-on data platform leader to help modernize our data architecture and build the foundation for AI, analytics, and trusted reporting.
This role will help design and deliver a modern cloud data platform, with an emphasis on the Azure ecosystem, while bringing strong experience from modern platforms such as Microsoft Fabric, Databricks, Snowflake, Synapse, AWS, or similar technologies. The right candidate is both technical and practical: someone who can set architecture patterns, guide engineers, improve legacy data environments, and personally dive into implementation details when needed.
This is not a traditional BI reporting role. We need someone who understands modern data platforms, AI-ready data architecture, medallion or lakehouse design patterns, governance, schema evolution, and how to create reliable data products that can support reporting, analytics, applications, data science, and AI-enabled workflows.
Responsibilities
  • Lead the design and implementation of modern cloud data-platform capabilities, with a primary focus on Azure-based architecture and delivery.
  • Lead, coach, and develop a team of data engineers while establishing high standards for technical excellence and delivery
  • Provide technical leadership by making architectural decisions, mentoring engineers, reviewing designs, and driving best practices across the data platform.
  • Establish practical patterns for ingestion, transformation, medallion-style data layers, data quality, lineage, governance, security, testing, and consumption.
  • Build scalable approaches for onboarding new sources, tables, columns, attributes, and acquired-company data without creating brittle one-off solutions.
  • Create governed data products that can support Power BI, analytics, operational reporting, data science, AI search, summarization, predictive analytics, and future agent-based workflows.
  • Move business logic, metric definitions, and reusable transformations into governed, version-controlled platform layers rather than scattered reports, spreadsheets, scripts, or stored procedures.
  • Partner with BI, analytics, engineering, product, finance, and business teams to improve data trust, reporting reliability, platform usability, and delivery speed.
Required Experience
  • 7+ years of experience in data engineering, data architecture, analytics engineering, or cloud data-platform delivery.
  • Experience serving as the technical authority for enterprise data platforms, balancing hands-on delivery with mentoring, design reviews, and long-term architectural direction.
  • Hands-on experience building or modernizing cloud data platforms using Azure, Microsoft Fabric, Databricks, Snowflake, Synapse, AWS, or similar technologies.
  • Strong understanding of lakehouse, medallion, data warehouse, and data modeling patterns, including when dimensional modeling is useful and when it should not drive the entire architecture.
  • Experience with tools such as Azure Data Lake, Azure Data Factory, Microsoft Fabric, Databricks, Synapse, Power BI, Purview, dbt, Snowflake, SQL, Python, Delta Lake, or similar technologies.
  • Practical experience with schema evolution, metadata-driven ingestion, pipeline automation, data quality checks, lineage, security, access control, documentation, and observability.
  • Experience preparing enterprise data for AI-enabled use cases, such as governed data access, semantic consistency, search, summarization, data science, predictive analytics, or agent-based workflows.
  • Strong SQL skills and the ability to design, review, debug, and optimize data pipelines, models, and transformations.
  • Experience improving legacy data environments with complex pipelines, inconsistent definitions, fragmented reporting logic, Power BI dependencies, stored procedures, or manual processes.
  • Ability to lead technical execution while communicating clearly with business and technology stakeholders.
  • Hands-on leadership style with the ability to set standards, guide a small team, and still build, review, troubleshoot, and deliver directly when needed.
We Offer Great Benefits:
  • Competitive salary and annual bonus
  • Flexible time off and company recognized holidays
  • 401k Pension Plan with company match contributions
  • Short-Term and Long-Term Disability
  • Life Insurance- Basic, Voluntary, and AD amp;D
  • Healthcare- Medical, Dental, Vision, and MDLive
  • Flexible spending amp; Health Savings Accounts (HSA)
  • Employee Assistance Program (EAP

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