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Agent Based Modeling Scientist Jobs in Washington

Advanced degree in Computer Science, Cybersecurity, Information Technology, or Data Science ... Experience with LLMs, generative AI, agent-based systems, evaluation frameworks, model monitoring ...

Advanced degree in Computer Science, Cybersecurity, Information Technology, or Data Science ... Experience with LLMs, generative AI, agent-based systems, evaluation frameworks, model monitoring ...

Showing results 21-40

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.
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$86K - $198K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 19 hours ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description

AI Software Engineer, Lead

The Opportunity:

Are you looking for an opportunity to combine your technical skills with big picture thinking to make an impact in national defense? You understand your customer's environment and how to develop the right systems for the mission. Your ability to translate real-world needs into technical solutions makes you an integral part of delivering a customer-focused engineering solution.

As an engineer on our team, you have the chance to shape the development of systems across multiple defense, civilian, and space domains by supporting advanced system design, test, and evaluation by combining physics-based modeling, AI/ML techniques, autonomy, cyber, and platform engineering expertise.

Your customer will trust you to not only design and develop these solutions but also evolve them with advanced technology. On our team, you'll be able to grow your skills by merging multiple technical engineering disciplines to create solutions that drive missions.

Join us. The world can't wait.

You Have:

  • 5+ years of experience implementing, maintaining, and supporting new and ongoing software development and architectures

  • 5+ years of experience in software development using basic programming languages, technologies, tools, or web development stacks

  • Experience with innovation and disruptive thinking

  • Experience developing high-fidelity physics-based models and simulations, and digital twins

  • Experience writing clean, maintainable, and test-driven code for new applications or improving legacy front-end systems

  • Experience with Java, Kotlin, Python, JavaScript, TypeScript, C/C++, or Golang

  • Experience with AI assisted development, machine learning operation pipelines, big data, data science, or unbounded data streams

  • Experience contributing to solutions within a collaborative, Agile, and cross-functional team environment

  • TS/SCI clearance

  • Bachelor's degree in an Engineering, Science, or Technology field

Nice If You Have:

  • Experience with technical mentorship and collaboration with multi-disciplinary teams to ensure robust, scalable, and secure M&S environments

  • Experience with requirements and architecture development across the systems development lifecycle

  • Experience with design of experiments, ANOVA, and other statistical tests

  • Experience with foundation AI models, representation learning, computational and agent-based modeling, and machine learning integration

  • Experience leading validation and test and evaluation by benchmarking against ground-truth data and quantifying resilience under contested conditions

  • Knowledge of platform engineering, including deployment of workloads across cloud, such as AWS, Azure, or Cloud One, and on-premises HPC clusters

  • Knowledge of multi-domain operations, such as air, land, sea, space, cyber, and EW

  • Knowledge of DevSecOps practices, such as CI/CD pipelines, containerization, and orchestration

  • Ability to work with automated testing tools to perform testing and maintenance

  • Master's degree in Engineering or Science and Technology

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.


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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914