Staff Applied Scientist

DAT Freight & Analytics

Seattle, United States
On-site
Machine learning
Optimization techniques
Causal inference
Conceptualize, propose, implement and iterate on algorithms that optimize a dynamic two-sided marketplace in real time

Job Summary

  • Conceptualize, propose, implement and iterate on algorithms that optimize a dynamic two-sided marketplace in real time.
  • Build decision engines that learn from feedback and guide operational and product outcomes.
  • Take ideas from research to production, ensuring seamless integration into our operational systems.

Matching Summary

Conceptualize, propose, implement and iterate on algorithms that optimize a dynamic two-sided marketplace in real time.

Skills & Requirements

Must-have

  • machine learning
  • optimization techniques
  • causal inference
  • large language models (LLMs)
  • Python
  • PyTorch, TensorFlow, scikit-learn

Nice-to-have

  • conversational AI agent
  • multi-armed bandits
  • retrieval-augmented generation (RAG)
  • modern natural language processing (NLP) toolkits

Key Requirements

  • Ph.D. or MS in quantitative field
  • 7+ years of experience
  • production-grade machine learning frameworks
  • build, deploy, and monitor AI models
  • translating ambiguous business problems

Work Rights

Not specified

Tailored Resume

Cover Letter