Auger
Applied Scientist - Supply Chain
Bellevue, USA
Sponsorship not specifiedDetected 5 days ago
Machine LearningData ScienceForecastingSupply ChainLogisticsResearchLeadershipCollaborationDemand Planning
About the role
- 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.
Responsibilities
- Translate complex scientific concepts into practical, scalable solutions that drive measurable business impact.
- 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.
Benefits
- This role requires deep technical expertise in data science, machine learning, and optimization, as well as the ability to lead cross-functional teams and influence senior executives.
- Develop and implement novel models in optimization, machine learning, and AI tailored to large-scale supply chain problems.
- Demonstrated expertise in optimization, machine learning, or enterprise-scale data systems.
- Exceptional EQ and collaboration skills, with the ability to unify scientists, engineers, product leaders, and customers around a shared vision.
Company info
- About the Team & Role We are seeking Supply Chain Applied Scientists to join Russell Allgor's team in Bellevue, WA or Dallas, TX.
This listing is sourced directly from Auger's careers page and normalized into a canonical job model.