ZipRecruiter

Log In

1

Agent Based Modeling Scientist Jobs (NOW HIRING)

Augment

Principal Scientist, Data

Houston, TX · On-site

$80 - $83/hr

Data Scientist - AI/ML Focus Worksite: Onsite Monday-Thursday (Mandatory) - Houston, TX Must-Have ... model accuracy and efficiency. NLP & Agent-Based AI Applications * Build LLM-powered solutions ...

SRI Tech solutions Inc

Data Scientists

Redmond, WA

... agent-based modeling. Ability to "talk" in advanced analytical language and also translate business issues into technical language and vice versa. Ability to maintain balance between solid ...

InfoVision, Inc.

Simulation engineer

Irving, TX · On-site

... and Agent based modeling using tools such as Anylogic * MS or BS in Computer Science,Math, Physics, Information Science, Engineering or other related field Skills * Experience in digital twin ...

Alutiiq

Operations Research Analyst

El Segundo, CA · On-site

$215K - $250K/yr

... and agent-based methods Develop and apply analytical models for cross-enterprise architecture ... scientific assumptions, study design, and model validation Maintain configuration control of ...

SRI Tech solutions Inc

Data Scientists

Redmond, WA · On-site

... agent-based modeling. • Ability to "talk" in advanced analytical language and also translate business issues into technical language and vice versa. • Ability to maintain balance between solid ...

InfoVision, Inc.

Simulation Engineer

Irving, TX · On-site

... and Agent based modeling using tools such as AnyLogic * MS or BS in Computer Science, Math, Physics, Information Science, Engineering or other related field Skill * Experience in digital twin ...

previous pagenext page

Showing results 21-40

All JobsAgent Based Modeling Scientist Jobs

Agent Based Modeling Scientist information

See salary details

$33K

$50.6K

$96.5K

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

As of Aug 6, 2026, the average yearly pay for agent based modeling scientist in the United States is $50,572.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,500.00 and $49,000.00 per year, depending on experience, location, and employer.

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.
More about Agent Based Modeling Scientist jobs
What cities are hiring for Agent Based Modeling Scientist jobs? Cities with the most Agent Based Modeling Scientist job openings:
What states have the most Agent Based Modeling Scientist jobs? States with the most job openings for Agent Based Modeling Scientist jobs include:
What job categories do people searching Agent Based Modeling Scientist jobs look for? The top searched job categories for Agent Based Modeling Scientist jobs are:
Agent Based Modeling Scientist jobs near you
Infographic showing various Agent Based Modeling Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $50,572 per year, or $24.3 per hour.

Principal Scientist, Data

Augment

Houston, TX • On-site

$80 - $83/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Data Scientist – AI/ML Focus
Worksite: Onsite Monday–Thursday (Mandatory) – Houston, TX

Must-Have Technologies: Snowflake, SQL, Palantir (or similar data decision/operational AI platform)

Position Summary

We are seeking a highly curious, proactive, and innovative Data Scientist with deep experience in AI/ML, NLP, and Large Language Models (LLMs). The ideal candidate will excel at blending complex datasets, building predictive and statistical models, and delivering AI-driven solutions that create measurable business impact.

This role will work hands-on with advanced LLMs and modern ML frameworks to design, train, deploy, and optimize AI applications within a real-world operational environment. You will partner closely with business and technical stakeholders to translate data science into clear, actionable strategies.

Key Responsibilities

AI/ML Model Development

  • Design, train, fine-tune, and evaluate machine learning and deep learning models—including LLMs—for predictive analytics and automated decision-making.

Data Engineering & Feature Development

  • Collect, clean, and analyze structured and unstructured data; engineer features to improve model accuracy and efficiency.

NLP & Agent-Based AI Applications

  • Build LLM-powered solutions using prompt engineering, fine-tuning, inference optimization, and agent-based architectures.

Business Decision Support

  • Convert statistical and ML findings into practical insights and recommendations that support strategic decisions.

End-to-End Deployment (MLOps)

  • Implement, deploy, and monitor ML models using best practices for reliability, scalability, and performance.

Data Storytelling & Communication

  • Create dashboards, visualizations, and presentations that clearly communicate insights to non-technical stakeholders.

Required Skills & Experience

Technical Expertise

  • Hands-on experience with AI/ML, NLP, LLM applications (GPT/BERT/LangChain), predictive modeling, and deep learning.
  • Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).
  • Advanced SQL skills and experience integrating data from multiple sources.
  • Experience with Snowflake, AWS (SageMaker, S3, Redshift), and automated ML pipelines.
  • Strong understanding of version control (Git) and collaborative development.

Soft Skills

  • Highly curious, innovative, and growth-oriented mindset.
  • Ability to drive projects independently from ideation to deployment.
  • Strong business acumen with the ability to align technical output to business needs.
  • Excellent communication skills with the ability to simplify technical concepts.

Preferred Qualifications

  • Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Statistics, Engineering, or another quantitative discipline.
  • Experience using BI or model-monitoring tools (Power BI, Dash, Streamlit).
  • Familiarity with reinforcement learning or agent-based AI systems.

Why This Role?

This opportunity is ideal for a Data Scientist who wants to work at the forefront of AI innovation—building advanced LLM-based solutions, deploying operational ML models, and driving real business impact within a forward-thinking organization.

Job Type: Full-time

Work Location: In person

Apply