Data Scientist, Specialist
AI summary of the role
Vanguard seeks a Data Scientist to build AI-powered Digital Twins that simulate customer behavior, leading initiatives to improve simulation fidelity and predictive accuracy.
What you’ll do
- Build and enhance AI-powered Digital Twins simulating customer behavior and decision-making
- Lead analytic and AI initiatives to improve simulation fidelity and predictive accuracy
- Apply behavioral science and UX insights to develop human-centered AI models
- Develop and optimize LLM, RAG, and agentic AI solutions including evaluation frameworks
What you’ll bring
- Minimum 5 years in Data Science, Analytics, ML, or Marketing Analytics
- Strong programming in Python and SQL with solid stats/ML/experimental design
- Experience with LLMs, agentic systems, prompt engineering, RAG, and AI evaluation
- Strong communication skills for translating findings into recommendations
Technologies
Python · SQL · LLM · RAG · agentic AI · prompt engineering · model fine-tuning · AI evaluation frameworks · machine learning · experimental design
About Vanguard
Investor-owned asset manager offering low-cost funds, ETFs, advice, and retirement services to individual, advisor, workplace, and institutional clients.
Bootstrapped · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
Core 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. Qualifications Required
More from the job description
Core 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. Qualifications Required Minimum five years of experience in Data Science, Analytics, Machine Learning, Marketing Analytics, or a related quantitative field. Demonstrated strength in at least one of the following areas: Analytics: Deep problem-solving experience in marketing, customer behavior, UX research, survey analysis, experimentation, behavioral science, or related domains. Applied AI / Data Science: Experience building solutions using LLMs, agentic systems, prompt engineering, model fine-tuning, RAG architectur [... source excerpt omitted ...] xperience developing AI systems that model, simulate, or predict human behavior, preferences, or decision-making. Experience building Digital Twins, synthetic personas, synthetic customers, or similar human simulation capabilities. Experience measuring alignment between AI predictions and real-world outcomes and improving model performance through experimentation and validation. Advanced degree in Data Science, Statistics, Applied Mathematics, Economics, Computer Science, Behavioral Science, Psychology, or a related field. Special Factors Sponsorship Vanguard is not offering visa sponsorship for this position. About Vanguard At Vanguard, we don't just have a mission—we're [... source excerpt omitted ...] ibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
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