Avathon
Senior AI Scientist, Planning
Pleasanton, California, United States. Posted 7 months ago
The role
You will build AI and optimization models for demand forecasting, supply planning, inventory optimization, and S&OP decision support. You will work with supply chain data on a Computational Knowledge Graph to take models from research to production.
What you will do
- Build demand and spare parts forecasting models using probabilistic, hierarchical and intermittent demand methods
- Use causal, external, and cross-domain signals from the knowledge graph
- Define evaluation metrics, build backtesting pipelines and run controlled experiments
- Build supply planning and multi-echelon inventory optimization models
- Formulate and solve MIP, LP and constraint programming problems
- Build simulation and scenario analysis
- Own the path from research to production with ML engineering
- Work with AI agents
- Mentor data scientists on OR and ML fundamentals
- Write up methods and results clearly for product, customers and leadership
Required qualifications
- PhD or MS in Operations Research, Industrial Engineering, Statistics, Computer Science, Applied Math or a related field
- 10+ years of industry experience in applied ML, optimization or supply chain planning systems
- Deep experience in at least two of: demand forecasting, supply and inventory optimization, production scheduling or S&OP analytics
- Hands-on Python with optimization solvers (Gurobi, CPLEX, OR-Tools or similar) and forecasting libraries (statsmodels, GluonTS or similar)
- Strong statistical modeling
- Experience with real supply chain data, ideally at a planning vendor such as o9 Solutions, Blue Yonder, Kinaxis, Oracle or SAP, or at a large manufacturer
- Experience shipping models to production, not only notebooks
Nice to have
- Multi-echelon inventory
- Bayesian methods for demand sensing
- publications in applied OR and ML
About the company
Avathon is the leading Industrial AI autonomy platform, helping customers across heavy industries accelerate the journey toward autonomous operations. Their platform is built on a Computational Knowledge Graph foundation.