Total Experience : 6 - 10 years

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.

- 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.

About the Role :

As an experienced 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.

You Will :

- 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 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 forecasting libraries (Prophet, statsmodels, GluonTS).

- Strong foundation in statistical modeling.

- Experience with supply chain and operational data.

- Ability to translate business problems into mathematical optimization or ML formulations.

- Experience deploying models into production environments.