Applied Scientist - Supply Chain

About the role

We are seeking Supply Chain Applied Scientists to join Russell Allgor's team in Bellevue, WA or Dallas, TX. In this role, you will design, develop, and deploy advanced AI and optimization solutions to address some of the most pressing problems in modern supply chains.

Responsibilities

• Develop and implement novel models in optimization, machine learning, and AI tailored to large-scale supply chain problems.
• Translate complex scientific concepts into practical, scalable solutions that drive measurable business impact.
• Formulate and solve large-scale mixed-integer and stochastic programs (network design, facility location, inventory, routing) using decomposition (Benders/Lagrangian), cutting planes, and column generation.
• Build probabilistic demand/supply models (e.g., Bayesian hierarchical time series), deliver calibrated forecasts, and quantify uncertainty with prediction intervals/conformal methods.
• Collaborate closely with engineers, product managers, and customer teams to bring prototypes into production.
• Engage directly with enterprise executives, articulating the value of AI and data science solutions with confidence and clarity.
• Publish, present, and evangelize Auger’s thought leadership in supply chain science and AI.

Qualifications

• PhD in Mathematics, Operations Research, Computer Science, Industrial Engineering, or a related field.
• Demonstrated expertise in optimization, machine learning, or enterprise-scale data systems.
• Proven leadership experience scaling cross-functional data and AI teams.
• Deep technical credibility in AI and data science, with a track record of delivering applied solutions in industry.
• Exceptional EQ and collaboration skills, with the ability to unify scientists, engineers, product leaders, and customers around a shared vision.

Benefits

• Medical, dental, and vision coverage.
• A 401(k) with company match.
• Commuter benefits.

Pay

Your initial placement within our salary range will be based on your experience, qualifications. The base pay range for this role is $200,000 – $350,000 per year.

Schedule

Flexible work schedule to accommodate remote work options.