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
Job Application Deadline: 09/30/2025

THE OPPORTUNITY

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:

• Invent and improve 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.

YOU ARE SOMEONE WHO WILL

As a Staff Applied Scientist, you will set technical direction, mentor other scientists, and deliver solutions whose impact scales across teams and the broader Convoy Platform, not just within individual projects.

• DRIVE SMARTER, DATA-INFORMED DECISION-MAKING THROUGH ADVANCED SCIENCE FEATURESWhether you’re using collaborative filtering to generate highly personalized load recommendations, enhancing those recommendations with a conversational AI agent powered by LLMs to deliver actionable offers to carriers, or reimagining auction mechanisms and carrier engagement with multi-armed bandits, your mandate is to identify and apply the right algorithmic and data-driven approach to maximize the impact of every feature. You’ll drive innovation across the Convoy Platform, always seeking new ways for our systems to make smarter, faster, and more reliable decisions.
• DEVELOP FEEDBACK-AWARE AUTOMATED DECISION-MAKING SYSTEMSThere are many situations where models simply do not outperform humans. We are looking for individuals who are open to building systems capable of ingesting human inputs. This means as part of the role, you will continuously analyze feedback from brokers and carriers to identify areas for improvement, fine-tune auction parameters, and optimize performance.
• ENGAGE COLLABORATIVELYScience drives automated decisions across many domains at the Convoy platform. We seek individuals with a history of leading successful collaborations with cross-functional teams, including product managers, engineers, and data scientists, to ensure seamless integration of the modeling solutions within the Engineering systems.
• INNOVATE DELIBERATELYWe’d like the individuals joining our team to stay up-to-date with the latest advancements in machine learning, optimization techniques, and market dynamics to drive innovation and maintain a competitive edge.

THE SKILLS AND EXPERIENCE YOU’LL BRING

• 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 learning frameworks (PyTorch, TensorFlow, scikit-learn), with hands-on experience in large language models (LLMs), retrieval-augmented generation (RAG), and modern natural language processing (NLP) toolkits
• SYSTEMS EXPERIENCE:Demonstrated ability to build, deploy, and monitor both classic and generative AI models in real-world systems, with comfort working with APIs, microservices, and data pipelines
• PROBLEM-SOLVING APTITUDE:Proven track record of translating ambiguous business problems into automated, scalable decision-making tools with a bias for action and operational excellence

EQUAL OPPORTUNITY EMPLOYER/PROTECTED VETERANS/INDIVIDUALS WITH DISABILITIES

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)

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WHAT YOU’LL DO

• 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

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

• Invent and improve 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 system