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Agent Based Modeling Scientist Jobs in Seattle, WA

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 ...

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 ...

Microsoft

Senior Applied Scientist

Redmond, WA · On-site

$160K - $261K/yr

... agent-based systems, and beyond • Advance the state of the art in model training-including post-training methods such as fine-tuning and reinforcement learning, high-quality data curation, and ...

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All JobsAgent Based Modeling Scientist JobsAgent Based Modeling Scientist Jobs in Seattle, WA

Agent Based Modeling Scientist information

See Seattle, WA salary details

$37.6K

$57.6K

$109.8K

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

As of Aug 21, 2026, the average yearly pay for agent based modeling scientist in Seattle, WA is $57,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,400.00 and $55,800.00 per year, depending on experience, location, and employer.

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 Seattle, WA?

For Agent Based Modeling Scientist jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Agent Based Modeling Scientist jobs in Seattle, WA look for?

The top searched job categories for Agent Based Modeling Scientist jobs in Seattle, WA are:

Agent Based Modeling Scientist jobs near you
Infographic showing various Agent Based Modeling Scientist job openings in Seattle, WA as of June 2026, with employment types broken down into 5% As Needed, 6% Full Time, 87% Part Time, 1% Contract, and 1% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $57,552 per year, or $27.7 per hour.

Data Scientists

SRI Tech solutions Inc

Redmond, WA • On-site

Contractor

Re-posted 15 days ago

Job description

Company Description

SRI Tech is an IT staffing and solutions firm that serves clients with a full range of IT services that we deliver effectively and efficiently. Ranked in the top 20% of the fastest growing companies in the US by Inc. 5000 - SRI Tech is fast growing & dynamic firm maintaining its speed to be one of the leaders in serving IT. 



Job Description

Position: Data Scientists

Location: Redmond WA

Duration; 6+ Months

Job Description:

Analyze complex, high-volume, high-dimensionality data from varying sources including subscription and app usage telemetry data to provide customer insights to drive key business decisions

Subscription lifecycle marketing

Churn driver analysis

Consumer usage segmentation

App usage & retention pattern

Work on broader business problem to drive marketing strategy e.g.

Media mix analysis

Customer lifetime value, engagement model

App usage and retention pattern

Minimum Requirements:

5-7 years' experience with marketing measurement, analytics and reporting including deep experience in marketing domain and also with survey data (sampling, experimental design, statistical testing and other forms of non-survey based data (e.g. behavioral data)

At least 2-3 years' experience in hands-on involvement in customer and market data analysis using advanced analytic techniques such as CART/ Decision Tree, cluster, regression, factor, bayes nets, neural nets, 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 "pragmatism" and "scientific rigor" to meet the needs of a dynamic business

Experience in developing and presenting strategic recommendations from complex analytics in an easy and engaging manner for executive/senior-level audiences.

Experience with statistical packages such as SAS, R, Power Views and deep experience with advanced Excel functionality

Working knowledge of leading analytic environments, for both structured (relational data warehouses, SQL, etc.) and unstructured data (COSMOS, Cassandra, Hadoop, Web trends, Omniture, etc.).

Undergraduate degree a must. MBA or Masters/PhD in Business or a Quantitative Discipline preferred.

Success Factors include: Strategic Thinking, Business & Strategy Leadership, Influence and Impact, Cross-Group Collaboration, Communication Skills, Courage and Conviction, Drive for Results, and Organizational Agility.

Additional Information

All your information will be kept confidential according to EEO guidelines.

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