Job Description

Salary: $113,000 - 153,000 per year Requirements:

• We require a masters degree or PhD in Data Science, Operations Research, Computer Science, Industrial Engineering, or another highly quantitative discipline.
• We look for 5+ years of applied data science experience in supply chain, logistics, manufacturing, or similarly complex operational settings.
• We need advanced proficiency in Python, R, and SQL.
• We require hands-on experience building discrete-event simulations, continuous simulations, or digital twin systems using tools such as AnyLogic, Simio, FlexSim, or custom-built frameworks.
• We look for a strong record of deploying machine learning and optimization models into live production or operational decision-making systems.
• Bonus: experience working as a standalone data scientist in an R&D lab, innovation center, startup, or advanced manufacturing technology environment.
• Bonus: familiarity with WMS/OMS data structures and warehouse operational datasets.
• Bonus: experience experimenting with large language models or agentic AI systems for workflow automation, exception handling, or decision support in operations contexts.

• We lead the design and development of digital twin models that accurately mirror end-to-end warehouse operations.
• We ingest and organize operational data from the micro-fulfillment lab to create scalable macro-simulations that can represent enterprise environments with tens of thousands of SKUs.
• We stress test operational approaches such as slotting algorithms, multi-pass picking, batching logic, and automation workflows in simulation before production rollout.
• We design, evaluate, and deploy AI-driven decision systems directly into operational workflows.
• We develop forecasting, labor planning, inventory optimization, task prioritization, and exception-handling models to improve throughput, speed, and cost efficiency.
• We build lightweight, production-ready analytical tools and algorithms that enhance operational performance without heavy infrastructure burden.
• We convert operational data into financial impact models, connecting time-and-motion studies to margin improvement, productivity gains, and labor efficiency.
• We partner with operations analysts to define robust experimental frameworks, including success criteria, measurement methods, and statistical validation.
• We analyze complex, multi-variable experiments such as inventory commingling strategies and assess their effect on density, availability, and fulfillment speed.
• We serve as the primary technical interface with external AI organizations, frontier model providers, and technology partners.
• We collaborate with academic institutions to support applied research in simulation, optimization, and AI-driven operations.
• We integrate external research and capabilities into real-world operational testing within fulfillment workflows.

• Agentic AI
• AI
• Backbone
• Support
• Machine Learning
• Python
• SQL
• Salesforce
• Embedded
• Network

More:

We are Stord, The Consumer Experience Company, powering seamless checkout through delivery for leading brands. We are rapidly expanding and are on track to double our revenue in the next 18 months, with teams scaling across the business to help us deliver on our mission. We combine commerce-enablement technology with high-volume fulfillment services to help brands compete with retail giants, and we manage more than $10 billion of commerce annually through fulfillment, warehousing, transportation, and our software suite, including OMS, Pre- and Post-Purchase, and WMS platforms. We work with leading DTC and B2B brands such as AG1, True Classic, Native, Seed Health, quip, goodr, and Sundays for Dogs. We are headquartered in Atlanta with facilities across the United States, Canada, and Europe, and we are backed by investors including Kleiner Perkins, Franklin Templeton, Founders Fund, Strike Capital, Baillie Gifford, and Salesforce Ventures. We are launching Stord Labs, an innovation center focused on emerging logistics technologies and the future of fulfillment, and this role serves as the technical backbone of a five-person innovation team working closely with controls engineers, operations specialists, frontier AI organizations, and academic research partners.

last updated 37 week of 2026

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