Senior AI Scientist - Planning

Avathon is the leading Industrial AI autonomy platform, helping customers across heavy industries—energy, mining, manufacturing, aerospace, defense, and logistics—to accelerate the journey toward autonomous operations. The 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. Avathon delivers real‑time predictive intelligence and agentic decision‑making at industrial scale. About the Role 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. 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—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 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, 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, preferably within the 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 a plus Interview Process As part of the interview process, you will be asked to complete a technical assessment. Benefits & Perks Evolving culture with the opportunity to drive new ideas and technology Stock Option Grants Medical Coverage and Parental Leave Plans 401k with Employer Match Monthly Technology Allowance Newly renovated office space located near Pleasanton, CA – including fully stocked beverage and snack areas Compensation Pay Range: $160k – $240k salary annually. Pay for this position is based on a number of factors including geographic location and may vary depending on job‑related knowledge, skills, and experience. Location This role is not remote. Candidates must be based in the Bay Area, CA and are expected to report to our Pleasanton office 5 days a week. Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you. #J-18808-Ljbffr