Applied Scientist — Computational Behavioral Modeling

BluePill AI; Seattle (WA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

BluePill AI is seeking an Applied Scientist to build next-generation behavioral models for our AI Consumer Twins platform. You will model how people make decisions, identify influential variables, and translate cognitive science into scalable algorithms.

You’ll work at the intersection of cognitive science, statistics, and machine learning, collaborating with engineering and product teams to deploy research into production.

Qualifications

• PhD or equivalent research experience preferred.
• Expertise in computational modeling of human behavior and decision-making.
• Experience with Bayesian inference and statistical modeling.
• Proficiency in Python and modern scientific computing tools.

Responsibilities

• Develop computational models of human decision-making and behavior.
• Translate behavioral science into scalable algorithms.
• Identify variables and interactions that influence decisions.
• Design experiments and analyses to test hypotheses.
• Build statistical and machine-learning models using behavioral data.
• Collaborate with engineering and product teams to deploy research.
• Establish rigorous validation of models against real-world behavior.

Skills

Computational modeling

Decision science

Bayesian inference

Machine learning

Experimental design

Heterogeneous behavior

Python

Education

PhD or equivalent

Tools

Python

Statistical software

Job description

Applied Scientist — Computational Behavioral Modeling

Location: Seattle preferred

Compensation: $120,000–$180,000 base + equity + benefits

BluePill is building AI Consumer Twins that help brands understand consumers and make better decisions across innovation, product, packaging, positioning, and marketing.

We’re looking for an Applied Scientist to help us build the next generation of behavioral models behind our platform.

This role sits at the intersection of cognitive science, decision science, behavioral science, statistics, and machine learning. You’ll work on modeling how people make decisions: what influences them, how different factors interact, how people make trade-offs, and how behavior varies across individuals and contexts.

What You’ll Do

• Develop computational models of human decision-making and behavior
• Translate behavioral and cognitive science into scalable algorithms
• Identify the variables and interactions that meaningfully influence decisions
• Design experiments and analyses to evaluate behavioral hypotheses
• Build statistical and machine-learning models using complex human behavioral data
• Work closely with engineering and product teams to bring research into production
• Establish rigorous approaches for validating models against real-world human behavior

What We’re Looking For

You may come from computational cognitive science, cognitive neuroscience, decision science, behavioral economics, quantitative psychology, computational social science, statistics, or a related field.

We’re especially interested in experience across:

• Computational modeling of human behavior
• Decision-making and behavioral science
• Bayesian inference and statistical modeling
• Machine learning
• Experimental design
• Modeling individual differences and heterogeneous behavior
• Python and modern scientific computing tools

PhD or equivalent research experience preferred.

More than any specific technique, we’re looking for someone who can move fluidly between understanding human behavior, formalizing it mathematically, and building models that work in the real world.

At BluePill, you’ll have the opportunity to build foundational behavioral models from the ground up and see them directly influence products used by leading consumer brands.