AI Scientist, Planning (SCM)
Avathon · Bengaluru, Karnataka, India; Pleasanton, California, United States
Posted about 3 months ago
or apply directly on Avathon's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 82 days Avathon's roles stay open a median of 83 days
- Reposted
- No
- Salary listed
- No 49% of Avathon's roles list one
- Ghost-job risk at Avathon
- high 35 stale, 0 reposted of 45 open
- Hiring momentum
- 46 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-25
Measured from postings appearing on and disappearing from Avathon's own greenhouse board since 2026-08-03. Full hiring picture for Avathon.
About this role
As an AI Scientist specializing in Planning at Avathon, you will design and develop AI and optimization models to enhance planning intelligence for various industries. Your responsibilities will include building demand forecasting models, designing supply planning and inventory optimization models, and formulating optimization problems to support production scheduling and resource planning. You will collaborate closely with product and engineering teams, transitioning research into production while mentoring junior data scientists.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Avathon as an employer.
What you need
- 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 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
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 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)
Worth weighing
- No salary listed
- Role involves both applied research and production delivery, which may require balancing between theoretical and practical work
- The position requires mentoring junior data scientists, indicating a leadership component
- Experience with specific optimization solvers and forecasting libraries is crucial, which may limit candidates without this expertise
Summarised from Avathon's posting. Read the full original.
Listed by Avathon on their greenhouse job board, last confirmed open on 2026-10-25. PitchMeAI is not the employer.
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