AI & Data Scientist — Digital Twins & Behavioral Modeling

The Vanguard Group; Farmers Branch (TX); Hybrid; USD 120,000 - 180,000; Full time

Job summary

The Vanguard Group seeks an experienced Data Scientist to build AI-driven Digital Twins that model customer behavior and preferences. You will lead analytics initiatives to improve simulation fidelity and predictive accuracy, applying behavioral science and UX insights to human-centered AI models.

The role also focuses on developing LLM, RAG, and agentic AI solutions and collaborating with Product, Marketing, Analytics, UX Research, and Technology teams.

Qualifications

• Minimum five years of experience in Data Science, Analytics, ML, Marketing Analytics, or a related quantitative field.
• Experience with analytics in marketing, customer behavior, UX research, experimentation, or behavioral science.

Responsibilities

• Build and enhance AI-powered Digital Twins that simulate customer behavior, preferences, and decision-making.
• Lead analytic and AI initiatives that improve simulation fidelity, business relevance, and predictive accuracy through experimentation, validation, and real-world outcome measurement.
• Apply behavioral science, customer research, UX insights, and marketing analytics to develop and refine human-centered AI models.
• Develop and optimize LLM, RAG, and agentic AI solutions, including data preparation, evaluation frameworks, prompt engineering, and model performance measurement.
• Partner with Product, Marketing, Analytics, UX Research, and Technology teams to translate business problems into scalable AI and data science solutions. Communicate findings and recommendations to stakeholders and mentor junior data scientists and analysts.

Skills

Data Science

Analytics

Machine Learning

Marketing Analytics

Behavioral Science

UX insights

Python

SQL

Education

Advanced degree in Data Science or related field

Tools

Python

SQL

Job description

The Vanguard Group seeks an experienced Data Scientist to build AI-driven Digital Twins that model customer behavior and preferences. You will lead analytics initiatives to improve simulation fidelity and predictive accuracy, applying behavioral science and UX insights to human-centered AI models.

The role also focuses on developing LLM, RAG, and agentic AI solutions and collaborating with Product, Marketing, Analytics, UX Research, and Technology teams.