Lead Data Scientist: Digital Twin & AI for Fulfillment

B Capital; United States; On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Innovation center for emerging logistics technologies

Job summary

Stord is looking for a Lead Data Scientist to innovate logistics through data-driven strategies. This role involves building digital twins and AI decision systems within a live fulfillment environment.

Ideal candidates hold a Master’s or PhD and have over 5 years of experience in supply chain data science. Proficiency in Python, simulation modeling, and machine learning is essential. Join Stord in Atlanta to redefine operational strategies with cutting-edge analytics.

Qualifications

• 5+ years of applied data science experience in supply chain or logistics.
• Proven experience building discrete-event simulations or digital twin systems.
• Strong track record of deploying machine learning models into live production.

Responsibilities

• Lead the design and development of digital twin models for warehouse operations.
• Develop AI-driven decision systems for operational workflows.
• Translate operational data into financial impact models.

Skills

Simulation modeling

Machine learning

Applied analytics

Python

R

SQL

Education

Master’s degree or PhD in Data Science, Operations Research, Computer Science, or related field

Tools

AnyLogic

Simio

FlexSim

Job description

Stord is looking for a Lead Data Scientist to innovate logistics through data-driven strategies. This role involves building digital twins and AI decision systems within a live fulfillment environment.

Ideal candidates hold a Master’s or PhD and have over 5 years of experience in supply chain data science. Proficiency in Python, simulation modeling, and machine learning is essential. Join Stord in Atlanta to redefine operational strategies with cutting-edge analytics.