[Remote] Lead Data Scientist

Note: The job is a remote job and is open to candidates in USA. Stord is The Consumer Experience Company, rapidly growing and seeking a highly skilled Lead Data Scientist to serve as the primary analytics and modeling expert within their core innovation team. This role involves building digital twins, developing predictive models, and integrating AI systems into real-world warehouse workflows to enhance operational strategies across Stord’s fulfillment network.ResponsibilitiesLead the design and development of digital twin models that accurately replicate end-to-end warehouse operationsIngest and structure operational data from the micro-fulfillment lab to build scalable macro-simulations capable of representing enterprise-scale environments with tens of thousands of SKUsStress test operational strategies—including slotting algorithms, multi-pass picking, batching logic, and automation workflows—within simulation environments prior to production deploymentDesign, test, and deploy AI-driven decision systems directly into operational workflowsDevelop models for forecasting, labor planning, inventory optimization, task prioritization, and exception handling to improve throughput, speed, and cost efficiencyBuild lightweight, production-ready analytical tools and algorithms that improve operational performance without heavy infrastructure overheadTranslate operational data into financial impact models, linking time-and-motion studies to margin improvement, productivity gains, and labor efficiencyPartner with operations analysts to design robust experimental frameworks, including success criteria, measurement methodologies, and statistical validation approachesAnalyze complex, multi-variable experiments such as inventory commingling strategies and their impact on density, availability, and fulfillment speedServe as the primary technical interface with external AI organizations, frontier model providers, and technology partnersCollaborate with academic institutions to sponsor applied research in simulation, optimization, and AI-driven operationsIntegrate external research and capabilities into real-world operational testing within fulfillment workflowsSkillsMaster's degree or PhD in Data Science, Operations Research, Computer Science, Industrial Engineering, or a highly quantitative field5+ years of applied data science experience in supply chain, logistics, manufacturing, or other complex operational environmentsAdvanced proficiency in Python, R, and SQLProven experience building discrete-event simulations, continuous simulations, or digital twin systems using tools such as AnyLogic, Simio, FlexSim, or custom frameworksStrong track record of deploying machine learning and optimization models into live production or operational decision systemsExperience operating as a standalone data scientist in an R&D lab, innovation center, startup environment, or advanced manufacturing technology settingFamiliarity with WMS/OMS data structures and warehouse operational datasetsExperience experimenting with large language models (LLMs) or agentic AI systems for workflow automation, exception management, or decision support in operations contextsCompany OverviewStord provides commerce enablement software and logistics services for e-commerce and omnichannel brands. It was founded in 2015, and is headquartered in Atlanta, Georgia, USA, with a workforce of 1001-5000 employees. Its website is https://www.stord.com.Company H1B SponsorshipStord has a track record of offering H1B sponsorships, with 2 in 2026, 5 in 2025, 4 in 2024, 2 in 2023, 7 in 2022, 2 in 2021, 2 in 2020. Please note that this does not guarantee sponsorship for this specific role.