Senior AI Scientist – Planning

Who We Are & Why Join Us

Avathon is the leading Industrial AI autonomy platform, helping customers across heavy industries – energy, mining, manufacturing, aerospace, defense, and logistics – accelerate the journey toward autonomous operations. Our platform is built on a Computational Knowledge Graph foundation that contextualizes and connects operational data across siloed systems, bringing together time series, structured, unstructured, and machine vision data to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management.

With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision‑making at industrial scale.

Cutting‑Edge AI Innovation – Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. High‑Growth Environment – Thrive in a fast‑scaling startup where agility, collaboration, and rapid professional growth are the norm. Meaningful Impact – Work on AI‑driven projects that drive real change across industries and improve lives.

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As a Senior AI Scientist – Planning, you will design and develop the AI and optimization models that power Avathon's planning intelligence – demand forecasting, supply planning, inventory optimization, and S&OP decision support for customers across energy, mining, manufacturing, and logistics. This role sits at the intersection of AI, ML and operations research. You will build models that work with complex supply chain data – demand history, ERP/MRP transactions, and commercial forecasts across multi‑echelon networks with long lead times and constrained capacity.

The work is equal parts applied research and production delivery. You will develop novel approaches where standard methods fall short and ship them into a platform used by enterprise customers. You will report into the Data Science org and work closely with product and engineering.

• 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

• Ph.D. or master’s degree in operations research, Industrial Engineering, Statistics, Computer Science, Applied Mathematics, or a related quantitative field
• 10-15 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, stats models, 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

• Ph.D. in Operations Research, Industrial Engineering, Statistics, or a related field
• Background in supply chain planning platforms or…