... and agent-based simulations to model complex, stochastic environments at scale. • Develop ... Required : • MS or PhD in Computer Science, Data Science, Operations Research, Applied ...
... and agent-based simulations to model complex, stochastic environments at scale. • Develop ... Required : • MS or PhD in Computer Science, Data Science, Operations Research, Applied ...
Build discrete-event and agent-based simulations to model complex, stochastic environments at scale ... MS or PhD in Computer Science, Data Science, Operations Research, Applied Mathematics, Physics, or ...
Build discrete-event and agent-based simulations to model complex, stochastic environments at scale ... MS or PhD in Computer Science, Data Science, Operations Research, Applied Mathematics, Physics, or ...
Data Scientist - Simulation (Senior - Principal)
Wilmington, MA · On-site
$149 - $204.60/hr
Build discrete-event and agent-based simulations to model complex, stochastic environments at scale ... MS or PhD in Computer Science, Data Science, Operations Research, Applied Mathematics, Physics, or ...
Data Scientist - Simulation (Senior - Principal)
Wilmington, MA · On-site
$149 - $204.60/hr
Build discrete-event and agent-based simulations to model complex, stochastic environments at scale ... MS or PhD in Computer Science, Data Science, Operations Research, Applied Mathematics, Physics, or ...
Build discrete-event and agent-based simulations to model complex, stochastic environments at scale ... MS or PhD in Computer Science, Data Science, Operations Research, Applied Mathematics, Physics, or ...
Build discrete-event and agent-based simulations to model complex, stochastic environments at scale ... MS or PhD in Computer Science, Data Science, Operations Research, Applied Mathematics, Physics, or ...
Applied AI Scientist - Hybrid
$100K - $120K/yr
... agent-based/agentic systems, experimentation frameworks, or applying LLM-based/foundation model ... Bachelor's degree in Computer Science, AI, Data Science, Engineering, or related field, or ...
Applied AI Scientist - Hybrid
$100K - $120K/yr
... agent-based/agentic systems, experimentation frameworks, or applying LLM-based/foundation model ... Bachelor's degree in Computer Science, AI, Data Science, Engineering, or related field, or ...
Applied AI Scientist - Hybrid
Boston, MA · On-site
$100K - $120K/yr
... agent-based/agentic systems, experimentation frameworks, or applying LLM-based/foundation model ... Bachelor's degree in Computer Science, AI, Data Science, Engineering, or related field, or ...
Applied AI Scientist - Hybrid
Boston, MA · On-site
$100K - $120K/yr
... agent-based/agentic systems, experimentation frameworks, or applying LLM-based/foundation model ... Bachelor's degree in Computer Science, AI, Data Science, Engineering, or related field, or ...
Applied AI Scientist - Hybrid
$100K - $120K/yr
... agent-based/agentic systems, experimentation frameworks, or applying LLM-based/foundation model ... Bachelor's degree in Computer Science, AI, Data Science, Engineering, or related field, or ...
Applied AI Scientist - Hybrid
$100K - $120K/yr
... agent-based/agentic systems, experimentation frameworks, or applying LLM-based/foundation model ... Bachelor's degree in Computer Science, AI, Data Science, Engineering, or related field, or ...
... agent-based modeling, discrete event modeling, system dynamics, or applied statistical modeling ... Master's degree in quantitative field such as Data Science, Computational Social Science ...
... agent-based modeling, discrete event modeling, system dynamics, or applied statistical modeling ... Master's degree in quantitative field such as Data Science, Computational Social Science ...
... for agent-based systems, and hands-on experience in designing, implementing, and operating large ... Hands-on fine-tune and deploy SLM models for production usage: dataset creation, training workflows ...
... for agent-based systems, and hands-on experience in designing, implementing, and operating large ... Hands-on fine-tune and deploy SLM models for production usage: dataset creation, training workflows ...
Postdoctoral Associate, AI-Powered Testing for Dynamic Models of Social Systems
Cambridge, MA · On-site
PREFERRED EDUCATION AND EXPERIENCE: - Experience with system dynamics, agent-based modeling, social simulation, computational social science, model validation/testing, causal or feedback modeling, or ...
Postdoctoral Associate, AI-Powered Testing for Dynamic Models of Social Systems
Cambridge, MA · On-site
PREFERRED EDUCATION AND EXPERIENCE: - Experience with system dynamics, agent-based modeling, social simulation, computational social science, model validation/testing, causal or feedback modeling, or ...
Research Scientist
Burlington, MA · On-site
Familiarity with simulation-based models (e.g., physics-based, network-based, agent-based, or ... Familiarity with network science or graph analytics concepts, including: * Graph modeling and ...
Research Scientist
Burlington, MA · On-site
Familiarity with simulation-based models (e.g., physics-based, network-based, agent-based, or ... Familiarity with network science or graph analytics concepts, including: * Graph modeling and ...
Applied Scientist, GenAI & ML Systems
Wilmington, MA · On-site
$175 - $216/hr
... for agent-based systems, and hands-on experience in designing, implementing, and operating large ... Hands-on fine-tune and deploy SLM models for production usage: dataset creation, training workflows ...
Applied Scientist, GenAI & ML Systems
Wilmington, MA · On-site
$175 - $216/hr
... for agent-based systems, and hands-on experience in designing, implementing, and operating large ... Hands-on fine-tune and deploy SLM models for production usage: dataset creation, training workflows ...
Applied Scientist, GenAI & ML Systems
Wilmington, MA · On-site
$175K - $215K/yr
... for agent-based systems, and hands-on experience in designing, implementing, and operating large ... Hands-on fine-tune and deploy SLM models for production usage: dataset creation, training workflows ...
Applied Scientist, GenAI & ML Systems
Wilmington, MA · On-site
$175K - $215K/yr
... for agent-based systems, and hands-on experience in designing, implementing, and operating large ... Hands-on fine-tune and deploy SLM models for production usage: dataset creation, training workflows ...
Senior Research Scientist
Burlington, MA · On-site
$107K - $136K/yr
A close working relationship with and support of KRI Senior R&D Engineers/Scientists for government ... Experience with modeling and simulation techniques, such as: * Network, agent-based, or discrete ...
Senior Research Scientist
Burlington, MA · On-site
$107K - $136K/yr
A close working relationship with and support of KRI Senior R&D Engineers/Scientists for government ... Experience with modeling and simulation techniques, such as: * Network, agent-based, or discrete ...
Present model performance, lift, and impact analyses to senior leadership * Own the full lifecycle ... Develop, test, and refine prompts, and support the design of agent-based GenAI workflows * Work ...
Present model performance, lift, and impact analyses to senior leadership * Own the full lifecycle ... Develop, test, and refine prompts, and support the design of agent-based GenAI workflows * Work ...
Applied Scientist, GenAI & ML Systems
Wilmington, MA · On-site
$175 - $216/hr
... agent-based systems, and hands‑on experience in designing, implementing, and operating ... Hands‑on fine‑tune and deploy SLM models for production usage: dataset creation, training ...
Applied Scientist, GenAI & ML Systems
Wilmington, MA · On-site
$175 - $216/hr
... agent-based systems, and hands‑on experience in designing, implementing, and operating ... Hands‑on fine‑tune and deploy SLM models for production usage: dataset creation, training ...
Our Decision Science practitioners use Industry & Functional domain expertise along with agentic AI ... You have knowledge of agent-based modeling, reinforcement learning, and autonomous systems is ...
Our Decision Science practitioners use Industry & Functional domain expertise along with agentic AI ... You have knowledge of agent-based modeling, reinforcement learning, and autonomous systems is ...
Sr. AI Developer, VP
Burlington, MA · On-site
$59.25 - $78.25/hr
... agent-based workflows, and automation tools • Build and integrate LLM-based solutions using ... S. in Computer Science, Engineering, Mathematics, or related field • 5-8+ years of software ...
Sr. AI Developer, VP
Burlington, MA · On-site
$59.25 - $78.25/hr
... agent-based workflows, and automation tools • Build and integrate LLM-based solutions using ... S. in Computer Science, Engineering, Mathematics, or related field • 5-8+ years of software ...
Apply generative AI and agent-based modeling to accelerate scenario planning, exception management ... Sciences, Consumer Goods Industrial, Energy, Utilities or Chemical and Natural Resources)
Apply generative AI and agent-based modeling to accelerate scenario planning, exception management ... Sciences, Consumer Goods Industrial, Energy, Utilities or Chemical and Natural Resources)
This role sits at the intersection of advanced Large Language Model (LLM) orchestration and ... Quantitative and computational skills, specifically in AI agent based workflows (e.g. Applied ...
This role sits at the intersection of advanced Large Language Model (LLM) orchestration and ... Quantitative and computational skills, specifically in AI agent based workflows (e.g. Applied ...
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?
| Aspect | Agent Based Modeling Scientist | Data Scientist |
|---|---|---|
| Required Credentials | Master's or PhD in computer science, mathematics, or related fields; experience with modeling and simulation | Degree in statistics, computer science, or related fields; proficiency in programming and statistical analysis |
| Work Environment | Research labs, academia, or industry focused on simulation and modeling projects | Business, tech companies, or consulting firms analyzing large datasets |
| Industry Usage | Research, simulation, complex systems modeling | Data 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 Massachusetts?
For Agent Based Modeling Scientist jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Agent Based Modeling Scientist jobs in Massachusetts look for?
The top searched job categories for Agent Based Modeling Scientist jobs in Massachusetts are:
Full-time
This job post has expired 3 days ago. Applications are no longer accepted.
Symbotic rating
7.2
Based on 9 frontline employees who took The Breakroom Quiz
185th of 246 rated software companies
Job description
Job Summary:
Symbotic is an automation technology leader reimagining the supply chain with its AI-powered robotic and software platform. They are seeking an experienced Senior or Principal Data Scientist to lead the development of advanced simulation models for robotic warehouse systems, focusing on optimizing system performance and informing strategic decisions.
Responsibilities:
• Design and develop simulation frameworks for robotic warehouse systems, including robot fleets, inventory flows, task allocation, and human-robot interaction.
• Build discrete-event and agent-based simulations to model complex, stochastic environments at scale.
• Develop predictive and prescriptive models to optimize throughput, latency, and resource utilization.
• Partner with robotics, software, and operations teams to evaluate new algorithms (routing, task assignment, scheduling).
• Test system changes before production deployment.
• Identify bottlenecks and failure modes.
• Create digital twins of warehouse environments to enable scenario testing and capacity planning.
• Apply machine learning and statistical techniques to improve simulation realism and calibration.
• Deliver clear insights and recommendations to technical and executive stakeholders.
• Establish best practices for model validation, experimentation, and reproducibility.
Qualifications:
Required:
• MS or PhD in Computer Science, Data Science, Operations Research, Applied Mathematics, Physics, or related field.
• Minimum of 5 years (Senior) or minimum of 8 years (Principal) of experience in simulation, modeling, or systems optimization.
• Experience in complex, distributed systems.
• Strong experience with discrete-event simulation (DES) or agent-based modeling.
• Proficiency in Python (NumPy, Pandas, SciPy) and/or simulation frameworks (e.g., SimPy, AnyLogic, Arena, or custom tools).
• Solid understanding of probability, stochastic processes, and statistics.
• Knowledge of optimization techniques (LP, MIP, heuristics, metaheuristics).
• Experience working with large datasets and building data pipelines.
• Ability to translate real-world system behavior into computational models.
Preferred:
• Experience in robotics, warehouse automation, logistics, or supply chain systems.
• Knowledge of fleet optimization or multi-agent systems.
• Experience with reinforcement learning for decision-making.
• Familiarity with path planning, task allocation, and scheduling algorithms.
• Understanding of digital twin architecture.
• Experience with C++ or high-performance systems for large-scale simulation.
• Knowledge of cloud platforms (AWS, Azure, GCP) and distributed computing.
• Background in experimentation platforms or A/B testing in operational systems.
Company:
Symbotic is a provider of integrated supply network automation solutions for warehouses and distribution centers. Founded in 2005, the company is headquartered in Wilmington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
Symbotic is an automation technology leader reimagining the supply chain with its AI-powered robotic and software platform. They are seeking an experienced Senior or Principal Data Scientist to lead the development of advanced simulation models for robotic warehouse systems, focusing on optimizing system performance and informing strategic decisions.
Responsibilities:
• Design and develop simulation frameworks for robotic warehouse systems, including robot fleets, inventory flows, task allocation, and human-robot interaction.
• Build discrete-event and agent-based simulations to model complex, stochastic environments at scale.
• Develop predictive and prescriptive models to optimize throughput, latency, and resource utilization.
• Partner with robotics, software, and operations teams to evaluate new algorithms (routing, task assignment, scheduling).
• Test system changes before production deployment.
• Identify bottlenecks and failure modes.
• Create digital twins of warehouse environments to enable scenario testing and capacity planning.
• Apply machine learning and statistical techniques to improve simulation realism and calibration.
• Deliver clear insights and recommendations to technical and executive stakeholders.
• Establish best practices for model validation, experimentation, and reproducibility.
Qualifications:
Required:
• MS or PhD in Computer Science, Data Science, Operations Research, Applied Mathematics, Physics, or related field.
• Minimum of 5 years (Senior) or minimum of 8 years (Principal) of experience in simulation, modeling, or systems optimization.
• Experience in complex, distributed systems.
• Strong experience with discrete-event simulation (DES) or agent-based modeling.
• Proficiency in Python (NumPy, Pandas, SciPy) and/or simulation frameworks (e.g., SimPy, AnyLogic, Arena, or custom tools).
• Solid understanding of probability, stochastic processes, and statistics.
• Knowledge of optimization techniques (LP, MIP, heuristics, metaheuristics).
• Experience working with large datasets and building data pipelines.
• Ability to translate real-world system behavior into computational models.
Preferred:
• Experience in robotics, warehouse automation, logistics, or supply chain systems.
• Knowledge of fleet optimization or multi-agent systems.
• Experience with reinforcement learning for decision-making.
• Familiarity with path planning, task allocation, and scheduling algorithms.
• Understanding of digital twin architecture.
• Experience with C++ or high-performance systems for large-scale simulation.
• Knowledge of cloud platforms (AWS, Azure, GCP) and distributed computing.
• Background in experimentation platforms or A/B testing in operational systems.
Company:
Symbotic is a provider of integrated supply network automation solutions for warehouses and distribution centers. Founded in 2005, the company is headquartered in Wilmington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
About Symbotic
Sourced by ZipRecruiter
Industry
Computer and computer peripheral equipment and software wholesalers
Company size
51 - 200 Employees
Headquarters location
Wilmington, MA, US
Year founded
2005