Staff Applied Scientist

About DATDATis 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, seeApplication Deadline: 09/30/2025The OpportunityDAT'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, highjudgment decisions continuously as new information arrives.This is a handson, endtoend science role where you will:Invent and improve algorithms that optimize a dynamic twosided marketplace in real timeBuild decision engines that learn from feedback and guide operational and product outcomesBlend techniques from machine learning, optimization, and causal inference to deliver measurable marketplace improvementsTake ideas from research to production, ensuring seamless integration into our operational systemsYou will be joining at a pivotal point in DAT's transformation, bringing together Convoy's industryleading 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 willAs 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 novate 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.What You'll DoDrive Market Mechanism Innovation:Enhance our industry-leading auction mechanism to better match broker loads with carriers, tackling dynamic pricing, marketplace fairness, and efficiency at scaleDevelop 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 workflowsBuild Risk & Trust Systems:Create robust fraud detection and risk management models to maintain the safety and integrity of our networkDesign 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 marketplaceSet Technical Direction:Mentor other scientists and deliver solutions whose impact scales across teams and the broader Convoy PlatformCollaborate Cross-Functionally:Lead successful collaborations with product managers, engineers, and data scientists to ensure seamless integration of modeling solutions within engineering systemsStay Current with Innovation:Maintain expertise in the latest advancements in machine learning, optimization techniques, and market dynamics to drive innovation and maintain competitive edgeThe Skills and Experience You'll BringAdvanced Education:Ph.D. or MS in Computer Science, Statistics, Applied Mathematics/Operations Research, Engineering, or related quantitative fieldProfessional Experience:Minimum of 7+ years of experience developing and deploying machine learning solutions in production environmentsTechnical 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) toolkitsSystems 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 pipelinesProblem-Solving Aptitude:Proven track record of translating ambiguous business problems into automated, scalable decision-making tools with a bias for action and operational excellenceWe'd be extra excited ifYou have experience with two-sided marketplaces, financial markets, and economic theoryYou have built and maintained mature production ML models in large, complex systemsYou have applied foundational or cutting-edge research, especially in NLP, LLMs, reinforcement learning, or optimization, to unlock real-world business valueYou have experience in freight, logistics, or transportation technologyWhy DAT?DAT is an award winning employer of choice.For starters, we have a hybrid work environment, but we also know what makes a great workplace. We have a time-tested and resolute set of operating values predicated on integrity, mutual respect, open communication, and executing with excellence. These values inform our strategic vision as much as any one of our products does. We've been an employer of choice in the Portland metropolitan area for four decades, and within one year of opening our Denver office, DAT was #26 on Built In Colorado's 100 Best Places to Work In Colorado.Medical, Dental, Vision, Life, and AD&D insuranceParental LeaveUp to 20 days of paid time off starting in year oneAn additional 10 holidays of paid time off per calendar year401k matching (immediately vested)Employee Stock Purchase PlanShort- and Long-term disability sick leaveFlexible Spending AccountsHealth Savings AccountsTuition Reimbursement ProgramEmployee Assistance ProgramAdditional programs - Employee Referral, Internal Recognition, and WellnessFree TriMet transit pass (Beaverton Office)Competitive salary and benefits packageWork on impactful projects in a cutting-edge environmentCollaborative and supportive team cultureOpportunity to make a real difference in the trucking industryEmployee Resource GroupsFor Washington-based candidates, in compliance with the Washington State Pay Transparency Law, the salary range for this role is $201,000 - $277,000 + target bonus + benefits. DAT considers factors such as scope and responsibilities of the position, candidate's work experience, education and training, core skills, internal equity, and market and business elements when extending an offer.DAT embraces the value of a diverse workforce, and believes it is a core strength of our company that we encourage those values in every DAT employee, at every level of our organization, regardless of tenure or rank. We provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.Equal Opportunity Employer/Protected Veterans/Individuals with DisabilitiesThe 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)#LI-RF1#LI-hybrid #J-18808-Ljbffr

Created: 2025-10-08