Lead Data Scientist (AI)

Location: Remote, United States

Company

hirify.global provides commerce-enablement technology and high-volume fulfillment services, including fulfillment, warehousing, transportation, OMS, pre- and post-purchase, and WMS platforms.

What you will do

• Lead the design and development of digital twins and macro-simulations for end-to-end warehouse operations.
• Structure operational data and stress-test slotting, multi-pass picking, batching, and automation strategies before production deployment.
• Design and deploy AI-driven decision systems for forecasting, labor planning, inventory optimization, task prioritization, and exception handling.
• Build lightweight analytical tools and algorithms to improve throughput, speed, cost efficiency, and operational performance.
• Develop financial impact models and experimental frameworks to measure productivity, margin, labor efficiency, density, availability, and fulfillment speed.
• Partner with operations specialists, controls engineers, academic institutions, frontier AI organizations, and technology providers.

Requirements

• Master’s degree or PhD in Data Science, Operations Research, Computer Science, Industrial Engineering, or another highly quantitative field.
• 5+ years of applied data science experience in supply chain, logistics, manufacturing, or complex operational environments.
• Advanced proficiency in Python, R, and SQL.
• Experience building discrete-event simulations, continuous simulations, or digital twin systems with AnyLogic, Simio, FlexSim, or custom frameworks.
• Proven experience deploying machine learning and optimization models into live production or operational decision systems.
• Must be based in the United States for this remote role.

Nice to have

• Experience as a standalone data scientist in an R&D lab, innovation center, startup, or advanced manufacturing technology setting.
• Familiarity with WMS/OMS data structures and warehouse operational datasets.
• Experience with LLMs or agentic AI systems for workflow automation, exception management, or operational decision support.

Culture & Benefits

• Work is embedded in a live micro-fulfillment facility and directly informs innovation across the broader fulfillment network.
• Collaborate with a five-person innovation team, controls engineers, operations specialists, academic researchers, and frontier AI organizations.
• Contribute to hirify.global Labs, an innovation center focused on emerging logistics technologies and the future of fulfillment.