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Agent Based Modeling Scientist Jobs in Portland, OR

... tree-based models like XGBoost) and know when to use standard models versus LLMs. * Deep ... Computer Science, Mathematics, Statistics, Economics, Physics) or equivalent professional ...

Galois operates under a highly collaborative organizational model that encourages leadership and ... Location We enjoy a hybrid work environment, and candidates may be based out of any of our offices ...

Galois operates under a highly collaborative organizational model that encourages leadership and ... Location We enjoy a hybrid work environment, and candidates may be based out of any of our offices ...

Experience with software modeling/statistics/data analysis/ fitting concept software (Matlab ... We evaluate applicants based on skills, experience, and potential - without regard to race, color ...

Experience with software modeling/statistics/data analysis/ fitting concept software (Matlab ... We evaluate applicants based on skills, experience, and potential - without regard to race, color ...

Fluid Dynamicist

Portland, OR · On-site

$110K - $152K/yr

Experience with numerical modeling, reduced-order modeling, simulation tool development, or scientific software development. * Working knowledge of Linux environments, Git-based workflows, and ...

Fluid Dynamicist

Portland, OR · On-site

$110K - $152K/yr

Experience with numerical modeling, reduced-order modeling, simulation tool development, or scientific software development. * Working knowledge of Linux environments, Git-based workflows, and ...

Fluid Dynamicist

Portland, OR · On-site

$110K - $152K/yr

Experience with numerical modeling, reduced-order modeling, simulation tool development, or scientific software development. * Working knowledge of Linux environments, Git-based workflows, and ...

Showing results 21-40

Agent Based Modeling Scientist information

See Portland, OR salary details

$35K

$53.6K

$102.3K

How much do agent based modeling scientist jobs pay per year?

As of Aug 21, 2026, the average yearly pay for agent based modeling scientist in Portland, OR is $53,631.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,600.00 and $52,000.00 per year, depending on experience, location, and employer.

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.

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 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.

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 popular job titles related to Agent Based Modeling Scientist jobs in Portland, OR?

For Agent Based Modeling Scientist jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Agent Based Modeling Scientist jobs in Portland, OR look for?

The top searched job categories for Agent Based Modeling Scientist jobs in Portland, OR are:

What cities near Portland, OR are hiring for Agent Based Modeling Scientist jobs?

Cities near Portland, OR with the most Agent Based Modeling Scientist job openings:

Senior Data Scientist - Forecasting

Tiger Analytics, LLC

Portland, OR • On-site

$100 - $140/hr

Other

Re-posted 16 days ago


Job description

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are seeking a Senior Data Scientist – Forecasting to join our advanced analytics team supporting leading Retail, CPG, and Supply Chain clients. In this role, you will design, develop, and deploy forecasting solutions that drive critical business decisions across demand planning, inventory optimization, replenishment, logistics, sales forecasting, and supply chain operations.

You will work closely with business stakeholders, data engineers, supply chain planners, and analytics leaders to build scalable forecasting models that deliver measurable business impact. The ideal candidate combines strong statistical forecasting expertise with hands‑on machine learning experience and the ability to translate complex analytical findings into actionable business recommendations.

Key Responsibilities
  • Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS
  • Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM
  • Develop hierarchical and multi-level forecasting solutions across products, regions, and channels
  • Perform large-scale data extraction, transformation, and analysis using SQL
  • Partner with supply chain, merchandising, planning, and business teams to understand forecasting requirements.
  • Translate business problems into analytical solutions.
  • Present model insights and recommendations to senior client stakeholders.
  • Lead workshops and forecasting strategy discussions with clients.
  • Implement and operationalize models in cloud environments
  • Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions
Qualifications
  • 10+ years of experience in applied data science or advanced analytics
  • 5+ years of hands‑on experience in demand planning, demand forecasting, or sales forecasting
  • Strong domain experience in CPG, FMCG, retail, or similar industries
  • Advanced proficiency in Python (pandas, NumPy, scikit-learn, statsmodels)
  • Strong SQL skills for large-scale data processing
  • Proven experience deploying models in cloud environments (Azure preferred)

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status or any other basis as protected by federal, state or local law.

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