Role overview
*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 www.DAT.com/company
What you'll work on
- 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