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Agent Based Modeling Scientist Jobs in Missouri (NOW HIRING)

Jobgether

$97K - $132K/yr

Our partner is looking for a Sr. Healthcare Data Scientist (Medicare/Medicaid) based in Netherlands ... The position combines statistical modeling, machine learning, generative AI, and agent-based ...

TAMKO

Manufacturing Data Scientist

Joplin, MO · On-site

... 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 ...

Walmart

(USA) Senior, Data Scientist

Cassville, MO · On-site

$90K - $180K/yr

... models while keeping all data within Walmart's network. Our work spans NLP, computer vision, time series forecasting, and multi-agent AI systems at enterprise scale. What You'll Do * Build and deploy ...

Walmart

(USA) Senior, Data Scientist

Noel, MO · On-site

$90K - $180K/yr

... models while keeping all data within Walmart's network. Our work spans NLP, computer vision, time series forecasting, and multi-agent AI systems at enterprise scale. What You'll Do * Build and deploy ...

Walmart

(USA) Senior, Data Scientist

Anderson, MO · On-site

$90K - $180K/yr

... models while keeping all data within Walmart's network. Our work spans NLP, computer vision, time series forecasting, and multi-agent AI systems at enterprise scale. What You'll Do * Build and deploy ...

Walmart

(USA) Principal, Data Scientist

Cassville, MO · On-site

$110K - $220K/yr

... science models into high-performance, production-ready solutions. Working closely with Data ... Develop orchestration frameworks for agent-based and LLM-driven simulations that enable dynamic ...

Walmart

(USA) Principal, Data Scientist

Anderson, MO · On-site

$110K - $220K/yr

... science models into high-performance, production-ready solutions. Working closely with Data ... Develop orchestration frameworks for agent-based and LLM-driven simulations that enable dynamic ...

Walmart

(USA) Principal, Data Scientist

Noel, MO · On-site

$110K - $220K/yr

... science models into high-performance, production-ready solutions. Working closely with Data ... Develop orchestration frameworks for agent-based and LLM-driven simulations that enable dynamic ...

Walmart

(USA) Principal, Data Scientist

Anderson, MO · On-site

$110K - $220K/yr

... models while keeping all data within Walmart's network. Our work spans NLP, computer vision, time series forecasting, and multi-agent AI systems at enterprise scale. What You'll Do * Build and deploy ...

Walmart

(USA) Principal, Data Scientist

Cassville, MO · On-site

$110K - $220K/yr

... models while keeping all data within Walmart's network. Our work spans NLP, computer vision, time series forecasting, and multi-agent AI systems at enterprise scale. What You'll Do * Build and deploy ...

Walmart

(USA) Principal, Data Scientist

Noel, MO · On-site

$110K - $220K/yr

... models while keeping all data within Walmart's network. Our work spans NLP, computer vision, time series forecasting, and multi-agent AI systems at enterprise scale. What You'll Do * Build and deploy ...

Walmart

(USA) Distinguished, Data Scientist

Noel, MO · On-site

$130K - $260K/yr

... models while keeping all data within Walmart's network. Our work spans NLP, computer vision, time series forecasting, and multi-agent AI systems at enterprise scale. What You'll Do * Build and deploy ...

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All JobsAgent Based Modeling Scientist JobsAgent Based Modeling Scientist Jobs in Missouri

Agent Based Modeling Scientist information

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 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:

Agent Based Modeling Scientist jobs near you
Infographic showing various Agent Based Modeling Scientist job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 11% Part Time, and 6% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Sr. Healthcare Data Scientist (Medicare/Medicaid)

Jobgether

On-site, Remote

$97K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Healthcare Data Scientist (Medicare/Medicaid) based in Netherlands.

This role offers the opportunity to apply advanced data science and AI to some of the most complex challenges in healthcare program integrity.
You will analyze large-scale Medicare and Medicaid claims data to uncover patterns associated with fraud, waste, and abuse.
The position combines statistical modeling, machine learning, generative AI, and agent-based technologies to create innovative analytical solutions.
You will work with modern tools including LLMs, embeddings, vector databases, and retrieval-augmented pipelines.
Your insights will support better decision-making, operational efficiency, and stronger outcomes across healthcare programs.
The environment is collaborative and mission-driven, with opportunities to translate sophisticated technical work into clear recommendations for diverse audiences.
This is an ideal opportunity for a curious, hands-on data scientist who wants to make meaningful impact through healthcare analytics and emerging AI technologies.

Accountabilities
  • Analyze Medicare and Medicaid claims data using statistical methods, machine learning, and advanced analytical techniques to identify trends, anomalies, and potential fraud, waste, and abuse.
  • Develop generative AI-powered solutions and agent-based systems to strengthen fraud detection, investigate complex patterns, and improve business processes.
  • Build predictive, anomaly detection, and other analytical models that improve program integrity, operational efficiency, and actionable insights.
  • Identify opportunities to apply large-scale CMS data with modern AI and machine learning approaches, including LLMs, embeddings, vector databases, and retrieval-augmented generation pipelines.
  • Apply sound data science practices including feature engineering, attribute selection, threshold setting, model validation, and train/test methodologies.
  • Create clear and effective data visualizations that communicate complex findings and emerging trends.
  • Present analytical results and recommendations to both technical and non-technical stakeholders, including senior leadership.
  • Contribute to additional analytical, data science, and AI initiatives as required.
Requirements
  • Bachelor's degree in an analytical or technical discipline such as Statistics, Computer Engineering, Applied Mathematics, Data Science, or a related field, or equivalent relevant experience.
  • At least 5 years of professional experience in data science, including experience developing and applying advanced analytical models.
  • At least 2 years of hands-on experience analyzing Medicare and/or Medicaid data, with a strong understanding of healthcare claims and program data.
  • Proficiency in Python or R for data science and machine learning, with experience using tools such as Pandas, NumPy, TensorFlow, Scikit-learn, Seaborn, ggplot, or Matplotlib.
  • Working knowledge of SQL and modern data platforms and technologies such as Databricks, Snowflake, and Spark.
  • Hands-on experience with generative AI technologies and frameworks, such as LangChain, LangGraph, Hugging Face Transformers, vector databases, agent frameworks, or LLM orchestration tools.
  • Strong understanding of statistics, machine learning fundamentals, predictive modeling, feature engineering, and model evaluation principles.
  • Ability to lead analytical work independently while collaborating effectively across technical and business teams.
  • Strong visualization, communication, and storytelling skills, with the ability to simplify complex data and AI concepts for varied audiences.
  • A proactive, curious, self-directed mindset combined with strong problem-solving skills and a practical approach to applying emerging technologies.
Benefits
  • Estimated annual salary range of $97,968-$132,250, with actual compensation determined by experience, geographic location, and applicable contractual requirements.
  • Fully remote work environment with a standard 40-hour work week.
  • Limited travel, generally less than 10%.
  • Multiple medical plan options, including plans with Health Savings Accounts.
  • Dental and vision insurance options.
  • 401(k) retirement savings plan with company matching and pre- and post-tax contribution options.
  • Flexible work arrangements where applicable to support work-life balance.
  • Paid vacation, sick, personal, and holiday time, with typically 15 days of paid leave plus 10 paid holidays for new employees, subject to applicable policies and proration.
  • Paid parental, military, bereavement, and jury-duty leave.
  • Up to 160 hours of paid family leave during a rolling 12-month period for eligible employees.
  • Short- and long-term disability coverage, life insurance, accidental death and dismemberment coverage, and additional accident and critical illness benefits.
  • Opportunities to work with modern AI, cloud, data, and analytics technologies on impactful healthcare initiatives.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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