Senior AI Scientist – Planning & Optimization

Avathon; Pleasanton (CA); On-site; USD 160,000 - 240,000; Full time

Benefits offered by this job

Stock Option Grants

Medical Coverage

401k with Employer Match

Monthly Technology Allowance

Modern Office Space

Job summary

Avathon is seeking a Senior AI Scientist – Planning to develop AI and optimization models for demand forecasting, inventory optimization, and S&OP decision support. This role, based in Pleasanton, CA, combines applied research and production delivery, requiring a Ph.D. alongside significant experience in machine learning and operations research. Compensation ranges from $160k - $240k annually, reflecting the candidate's skills and experience. Strong collaboration with product and engineering teams is expected, with office attendance required five days a week.

Qualifications

• 10-15 years of industry experience in applied ML and optimization.
• Deep experience in demand forecasting, supply/inventory optimization.
• Experience deploying models into production environments.

Responsibilities

• Design AI and optimization models for planning intelligence.
• Build demand forecasting models across industrial verticals.
• Define evaluation metrics and run controlled experiments.

Skills

Applied Machine Learning

Optimization

Supply Chain Planning

Python

Statistical Modeling

Education

Ph.D. in Operations Research or a related field

Tools

Gurobi

AWS SageMaker

Cloud ML Infrastructure

Job description

Avathon is seeking a Senior AI Scientist – Planning to develop AI and optimization models for demand forecasting, inventory optimization, and S&OP decision support. This role, based in Pleasanton, CA, combines applied research and production delivery, requiring a Ph.D. alongside significant experience in machine learning and operations research. Compensation ranges from $160k - $240k annually, reflecting the candidate's skills and experience. Strong collaboration with product and engineering teams is expected, with office attendance required five days a week.