Data Scientist (Synthetic Consumers Engine)

Overview This position focuses on R&D of intellicia's core Synthetic Consumers engine. Design and refine generative models that simulate real consumer attitudes, preferences, and behaviors at statistical parity with traditional surveys (Spearman 91.2%).

An opportunity to conduct groundbreaking research at the intersection of consumer psychology, statistical modeling, and LLM-based simulation.

What You'll Gain

• Research and publication-grade experiment design for LLM-based Synthetic Respondent Generation
• Hands-on consumer behavior modeling and statistical validation (Spearman Correlation, RMSE, Distribution Fit)
• Domain-specific skills in prompt engineering and persona schema design for synthetic consumers
• Model validation with real client data across 60+ global PoC projects
• A unique career path growing both market research domain expertise and AI research capabilities

Key Responsibilities

Synthetic Consumer Engine Research (Core)

• Design and experiment with LLM-based models simulating respondent attitudes and preferences
• Design and optimize persona schemas (demographics, psychographics, consumption behavior)
• Statistical equivalence testing between real surveys and synthetic responses (Spearman, KS-test, Chi-squared)
• Improve response quality and diversity through prompt engineering
• Mitigate LLM biases to ensure accurate representation of survey-specific target populations

Data Analysis & Validation

• Analyze PoC project results and write accuracy reports
• Establish and maintain synthetic response accuracy benchmarks by industry (FMCG, Finance, IT)
• Operate A/B testing, experiment design, and statistical analysis frameworks

Research & Publications

• Survey latest academic papers on synthetic consumers and share internally
• Publish research findings as conference papers or tech blog posts (optional)

Requirements

• Master's or equivalent in Statistics, CS, IE, Psychology, or Marketing
• 3+ years of data analysis and statistical modeling with Python
• Deep understanding of statistical tests (t-test, ANOVA, Chi-squared, correlation) and experiment design
• LLM/NLP project experience (prompt engineering, RAG, or fine-tuning)
• Interest or experience in consumer research and market research domains

Preferred Qualifications

• Background or deep understanding of consumer psychology, behavioral economics, survey methodology, or sensory evaluation
• Experience with pattern mining and Markov-model-based behavioral sequence simulation
• Conference paper publication or academic research experience
• Experience at market research firms (Nielsen, Kantar, Ipsos)
• Large-scale dataset processing (Spark, BigQuery)
• English or Japanese communication ability

Benefits & Perks

• Grow alongside the product at an early-stage company
• Flexible work environment
• Education support for professional development

Hiring Process

1

Application Review

Resume screening

2

1st Online Interview

Video Interview

3

2nd In-Person Interview

In-Person Interview

4

Final Offer

Offer notification

How to Apply