Lead Data Scientist

🔥 13 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Stord

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2015

☁️ SaaS

🚗 Transport

🛍️ eCommerce

SaaS • Transport • eCommerce

Stord is a cloud supply-chain company that combines fulfillment network operations with integrated SaaS (OMS/WMS) to power omnichannel and DTC e-commerce brands. It provides warehousing, last-mile and transportation services, order routing, inventory management, and consumer-facing delivery tools to improve conversion, speed up fulfillment, and protect brand experience. Stord serves growing B2B and direct-to-consumer brands across food & beverage, beauty, apparel and other retail categories, offering a customizable fulfillment network and software platform to optimize costs and delivery performance.

📋 Description

• Lead the design and development of digital twin models that accurately replicate end-to-end warehouse operations. • Ingest 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 SKUs. • Stress test operational strategies—including slotting algorithms, multi-pass picking, batching logic, and automation workflows—within simulation environments prior to production deployment. • Design, test, and deploy AI-driven decision systems directly into operational workflows. • Develop models for forecasting, labor planning, inventory optimization, task prioritization, and exception handling to improve throughput, speed, and cost efficiency. • Build lightweight, production-ready analytical tools and algorithms that improve operational performance without heavy infrastructure overhead. • Translate operational data into financial impact models, linking time-and-motion studies to margin improvement, productivity gains, and labor efficiency. • Partner with operations analysts to design robust experimental frameworks, including success criteria, measurement methodologies, and statistical validation approaches. • Analyze complex, multi-variable experiments such as inventory commingling strategies and their impact on density, availability, and fulfillment speed. • Serve as the primary technical interface with external AI organizations, frontier model providers, and technology partners. • Collaborate with academic institutions to sponsor applied research in simulation, optimization, and AI-driven operations.

🎯 Requirements

• Master’s degree or PhD in Data Science, Operations Research, Computer Science, Industrial Engineering, or a highly quantitative field. • 5+ years of applied data science experience in supply chain, logistics, manufacturing, or other complex operational environments. • Advanced proficiency in Python, R, and SQL. • Proven experience building discrete-event simulations, continuous simulations, or digital twin systems using tools such as AnyLogic, Simio, FlexSim, or custom frameworks. • Strong track record of deploying machine learning and optimization models into live production or operational decision systems.

🏖️ Benefits

• Health insurance • Professional development opportunities