Applied Scientist - Supply Chain

What you'll do

• Develop optimization, machine learning, and AI models for large-scale supply chain problems, including mixed-integer and stochastic programs and probabilistic forecasts.
• Translate scientific methods into scalable solutions and collaborate with engineering, product, and customer teams to bring prototypes into production.
• Engage enterprise executives and customers, and publish or present Auger’s supply chain science and AI thought leadership.

What they ask for

• PhD in Mathematics, Operations Research, Computer Science, Industrial Engineering, or a related field.
• Expertise in optimization, machine learning, or enterprise-scale data systems.
• Leadership experience scaling cross-functional data and AI teams, and a track record delivering applied AI and data science solutions in industry.
• Exceptional collaboration skills; experience in supply chain, logistics, or enterprise operations.

Tools

AI, optimization, machine learning, mixed-integer, stochastic programs, Benders/Lagrangian, Bayesian hierarchical time series, conformal methods

AI focus

Develop and deploy AI and optimization solutions for supply chain operations, including demand forecasting, inventory optimization, network design, and risk management; the company’s systems detect disruptions, evaluate trade-offs, and execute decisions automatically.