AI Scientist, Planning (SCM)

• Build demand forecasting models across industrial verticals, applying probabilistic, hierarchical, and intermittent demand methods where history is short or volatile
• Design supply planning and inventory optimization models across multi-echelon networks with capacity constraints and variable lead times
• Formulate and solve optimization problems (MIP, LP, constraint programming) for production scheduling, allocation, and resource planning
• Build simulation and scenario analysis frameworks to support S&OP and integrated business planning workflows
• Define evaluation metrics, build backtesting pipelines, and run controlled experiments to measure and improve model performance
• Integrate cross-domain signals from Avathon's Computational Knowledge Graph -- asset health, logistics, procurement - into planning models
• Own the path from research to production in collaboration with ML Engineering, delivering scalable and monitored services
• Mentor junior data scientists on technical depth and OR/ML fundamentals

You'll Have

• Ph.D. or master’s degree in operations research, Industrial Engineering, Statistics, Computer Science, Applied Mathematics, or a related quantitative field
• 6+ years of industry experience in applied ML, optimization, or Supply Chain planning systems
• Deep experience in at least two of: demand forecasting, supply/inventory optimization, production scheduling, or S&OP analytics
• Proficiency in Python with hands-on experience in optimization solvers (Gurobi, CPLEX, OR-Tools, or similar) or forecasting libraries (Prophet, statsmodels, GluonTS, or similar)
• Strong foundation in statistical modeling with sound judgment on when simple methods outperform complex ones
• Experience with supply chain and operational data - demand history, ERP/MRP transactions, and planning system outputs
• Ability to translate business problems into mathematical optimization or ML formulations
• Experience deploying models into production environments

Preferred Qualifications

• Ph.D. in Operations Research, Industrial Engineering, Statistics, or a related field
• Background in supply chain planning platforms or industrial AI (O9, Blue Yonder, Kinaxis, or similar), preferably within the supply chain industry
• Experience in supply chain planning platforms or industrial AI (O9 Solutions, Blue Yonder, Kinaxis, or similar) preferably from Supply Chain industry.
• Experience with multi-echelon inventory optimization or network design
• Familiarity with probabilistic programming or Bayesian methods for demand sensing
• Experience with cloud ML infrastructure (AWS SageMaker, GCP Vertex, or equivalent)
  • Domain experience in energy, mining, manufacturing, aerospace, or logistics or Track record of publishing or presenting applied OR/ML work as plus