Applied Scientist

About DAT

DAT is an award-winning employer of choice and a next-generation SaaS technology company that has been at the leading edge of innovation in transportation supply chain logistics for 45 years. We continue to transform the industry year over year, by deploying a suite of software solutions to millions of customers every day - customers who depend on DAT for the most relevant data and most accurate insights to help them make smarter business decisions and run their companies more profitably.

We operate the largest marketplace of its kind in North America, with 400 million freights posted in 2022, and a database of $150 billion of annual global shipment market transaction data. Our headquarters are in Denver, CO, and Beaverton, OR, with additional offices in Seattle, WA;
Springfield, MO; and Bangalore, India. For additional information, see

03/31/2025

DAT's Convoy Platform team is seeking a Staff Applied Scientist to design and deploy the next generation of marketplace algorithms and intelligent decision systems that power the movement of freight across the nation.

You will tackle some of the most challenging problems in digital logistics: matching supply with demand at scale, allocating resources efficiently under uncertainty, and building systems that can make and refine complex, high-judgment decisions continuously as new information arrives.

This is a hands‑on, end‑to‑end science role where you will:

• 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
• Blend techniques from machine learning, optimization, and causal inference to deliver measurable marketplace improvements
• Take ideas from research to production, ensuring seamless integration into our operational systems

You will be joining at a pivotal point in DAT's transformation, bringing together Convoy's industry‑leading technology with DAT's scale and deep market presence to create the most advanced digital freight network in the country. The solutions you build will help move billions of dollars of freight more efficiently, reducing waste and increasing value for shippers, brokers, and carriers.

• Drive Market Mechanism Innovation:
  Enhance our industry‑leading auction mechanism to better match broker loads with carriers, tackling dynamic pricing, marketplace fairness, and efficiency at scale
• Develop AI‑Powered Customer Experiences:
  Build and deploy next‑generation AI products, including LLM‑driven text and voice interfaces, enabling customers to interact more naturally through chat, voice assistants, and automated workflows
• Build Risk & Trust Systems:
  Create robust fraud detection and risk management models to maintain the safety and integrity of our network
• Design Recommendation Systems:
  Deliver intelligent load recommendations, using Convoy and DAT's rich user behavior data. Test, learn and iterate with multi‑armed bandits.
• Embrace our Experimentation and Causal Inference Obsession:
  Design and analyze experiments to accurately measure the impact of new features and pricing strategies across our marketplace
• Set Technical Direction:
  Mentor other scientists and deliver solutions whose impact scales across teams and the broader Convoy Platform
• Collaborate Cross‑Functionally:
  Lead successful collaborations with product managers, engineers, and data scientists to ensure seamless integration of modeling solutions within engineering systems
• Stay Current with Innovation:
  Maintain expertise in the latest advancements in machine learning, optimization techniques, and market dynamics to drive innovation and maintain competitive edge

• Advanced
  
  Education:
  
  Ph.D. or MS in Computer Science, Statistics, Applied Mathematics/Operations Research, Engineering, or related quantitative field
• Professional
  
  Experience:
  
  Minimum of 7+ years of experience developing and deploying machine learning solutions in production environments
• Technical Proficiency:
  Expert‑level proficiency with Python and production‑grade machine…