Avathon
Senior AI Scientist – Planning
Pleasanton, California, United States · Senior · Contract
Sponsorship not specified$160k-$240kDetected 7 days ago
PythonAWSGCPMachine LearningData ScienceNLPComputer VisionStatisticsForecastingSupply ChainLogisticsProcurementERPPerformance ManagementResearchCollaborationPublic SpeakingS&OPDemand Planning
About the role
- Formulate and solve optimization problems (MIP, LP, constraint programming) for production scheduling, allocation, and resource planning
- Integrate cross-domain signals from Avathon's Computational Knowledge Graph -- asset health, logistics, procurement - into planning models
- Mentor junior data scientists on technical depth and OR/ML fundamentals
Responsibilities
- 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
- Define evaluation metrics, build backtesting pipelines, and run controlled experiments to measure and improve model performance
- Own the path from research to production in collaboration with ML Engineering, delivering scalable and monitored services
- 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.
- Evolving culture with the opportunity to drive new ideas and technology
Requirements
- Proficiency in Python with hands-on experience in optimization solvers (Gurobi, CPLEX, OR-Tools, or similar) or forecasting libraries (Prophet, statsmodels, GluonTS, or similar)
- 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
- Candidates must be based in the Bay Area, CA and are expected to report to our Pleasanton office 5 days a week.
- Ph.D. or master's degree in operations research, Industrial Engineering, Statistics, Computer Science, Applied Mathematics, or a related quantitative field
Nice to have
- 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
- 401k with Employer Match
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.
Benefits
- What are the benefits and perks at Avathon?
- Stock Option Grants
- Medical Coverage and Parental Leave Plans
- Contract and temporary roles are not eligible for the above benefits.
Company info
- You will develop novel approaches where standard methods fall short and ship them into a platform used by enterprise customers.
- Below are some highlights we offer to our U.S. full-time employees -- we'd love to connect and share more!
- Who We Are & Why Join Us
- As part of the interview process, you will be asked to complete a technical assessment.
Equal opportunity
- Avathon is an Equal Opportunity Employer.
- 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.
- If you need a reasonable accommodation, please contact us to discuss how we can assist you.
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