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Agent Based Modeling Scientist Jobs in Missouri (NOW HIRING)

Strong experience in machine learning, NLP, and LLM-based modeling * Strong experience designing ... applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real‑world use cases

Data Scientist_5

California, MO · On-site

$150 - $170/hr

Model Evaluation & Governance* Design robust benchmarking and evaluation pipelines for LLM outputs ... Experience implementing agent-based architectures for autonomous task execution.* Solid grounding ...

You will work closely with data scientists, machine learning engineers, operations research ... Apply graph-based modeling to capture cannibalization and halo effects across product hierarchies ...

Staff, Data Scientist (Pricing)

Noel, MO · On-site

$110K - $220K/yr

You will work closely with data scientists, machine learning engineers, operations research ... Apply graph-based modeling to capture cannibalization and halo effects across product hierarchies ...

You will work closely with data scientists, machine learning engineers, operations research ... Apply graph-based modeling to capture cannibalization and halo effects across product hierarchies ...

... models, predictive and prescriptive analytics, and end-to-end, multi-agent systems in support of ... tree-based models, and anomaly detection. * Understanding of applied statistics and statistical ...

Data Scientist III

Anderson, MO · On-site

$90K - $180K/yr

We are looking for a Data Scientist III to join Sam's Club fraud detection team. As a Data ... network-based modeling, and Generative AI (GenAI) techniques to enhance detection accuracy ...

Data Scientist III

Cassville, MO · On-site

$90K - $180K/yr

We are looking for a Data Scientist III to join Sam's Club fraud detection team. As a Data ... network-based modeling, and Generative AI (GenAI) techniques to enhance detection accuracy ...

Data Scientist III

Noel, MO · On-site

$90K - $180K/yr

We are looking for a Data Scientist III to join Sam's Club fraud detection team. As a Data ... network-based modeling, and Generative AI (GenAI) techniques to enhance detection accuracy ...

Senior, Data Scientist

Cassville, MO · On-site

$90K - $180K/yr

As a Senior Data Scientist, you will be responsible for owning fraud risks in various product ... network-based modeling, and Generative AI (GenAI) techniques to enhance detection accuracy ...

Senior, Data Scientist

Anderson, MO · On-site

$90K - $180K/yr

As a Senior Data Scientist, you will be responsible for owning fraud risks in various product ... network-based modeling, and Generative AI (GenAI) techniques to enhance detection accuracy ...

Senior, Data Scientist

Noel, MO · On-site

$90K - $180K/yr

As a Senior Data Scientist, you will be responsible for owning fraud risks in various product ... network-based modeling, and Generative AI (GenAI) techniques to enhance detection accuracy ...

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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 Missouri? For Agent Based Modeling Scientist jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Agent Based Modeling Scientist jobs in Missouri look for? The top searched job categories for Agent Based Modeling Scientist jobs in Missouri are:
What cities in Missouri are hiring for Agent Based Modeling Scientist jobs? Cities in Missouri with the most Agent Based Modeling Scientist job openings:
Infographic showing various Agent Based Modeling Scientist job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 13% Part Time, and 8% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior Data Scientist II

Jobtailor

California, MO • On-site

$120 - $160/hr

Other

Posted 5 days ago


Job description

Responsibilities
  • Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).
  • Define agentic workflows and reasoning strategies for multi-step legal tasks.
  • Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).
  • Analyze large-scale legal datasets to extract insights and improve model performance.
  • Establish best practices for model evaluation, validation, and benchmarking.
  • Translate experimental results into clear product recommendations and business impact.
  • Collaborate with product, legal experts, and engineers to align solutions with user needs.
  • Mentor team members and provide technical leadership in data science and AI.
Requirements
  • Master’s degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.)
  • Strong experience in machine learning, NLP, and LLM-based modeling
  • Strong experience designing and running experiments, including model evaluation and iteration
  • Strong coding skills
  • Experience with generative AI techniques (e.g., prompt engineering, RAG)
  • Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases
  • Experience designing agentic workflows and reasoning strategies, with hands‑on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real‑world use cases
  • Proficiency in Python and data analysis tools
  • Strong foundation in statistics, modeling, and large‑scale text processing
Core Competencies

Demonstrates expertise in Natural Language Processing (NLP), Large Language Models (LLM), and generative AI techniques, with a strong foundation in machine learning and statistical analysis. Capable of designing agentic workflows and hybrid search strategies while providing technical leadership and mentoring in data science.

Tools & Technologies
  • LangChain
  • LangGraph
  • AutoGen
  • Vector Databases
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