AI Research & Innovation Scientist (Neuro-Symbolic, RAG)

TransUnion

Chicago (IL)

Hybrid

USD 113,000 - 188,000

Full time

2 days ago
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Benefits offered by this job

401(k) with employer match
Employee stock purchase plan (ESPP)
Wellness and health benefits

Job summary

TransUnion seeks a senior data science leader to design AI-powered automation for enterprise workflows and to advance knowledge management and retrieval systems. You will work on neuro-symbolic AI, causal modeling, and explainable AI within a collaborative team.

You’ll prototype concepts, evaluate business impact, and help transition research into production while contributing to publications and patents. Hybrid work requires two days on-site.

Qualifications

  • Advanced degree in a quantitative field with research in AI/ML.
  • Experience building AI systems for enterprise use cases.
  • Strong programming skills and modern AI frameworks.

Responsibilities

  • Design and develop AI-powered automation solutions for enterprise workflows.
  • Build retrieval systems and knowledge management capabilities.
  • Advance neuro-symbolic AI and explainable AI initiatives.
  • Prototype concepts and evaluate the business impact of AI technologies.
  • Collaborate with engineering to deploy research to production.
  • Publish findings and contribute to patents.
  • Represent TransUnion through publications and patents.

Skills

Graph neural networks
Automated reasoning systems
Causal inference
Explainable AI
Python programming
Knowledge graphs

Education

Master's or PhD in Computer Science/AI/Data Science

Tools

PyTorch
TensorFlow

Job description

TransUnion seeks a senior data science leader to design AI-powered automation for enterprise workflows and to advance knowledge management and retrieval systems. You will work on neuro-symbolic AI, causal modeling, and explainable AI within a collaborative team.

You’ll prototype concepts, evaluate business impact, and help transition research into production while contributing to publications and patents. Hybrid work requires two days on-site.

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