Avathon
Senior AI Scientist, Planning
Pleasanton, California, United States · Senior · Contract
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$15,136 more — $175,136 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $175,136 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Computer and Information Research Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Computer and Information Research Scientists (15-1221) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- High-Growth Environment -- Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm.
- Our models run on top of a Computational Knowledge Graph that connects parts, BOMs, suppliers, orders and assets, which gives you context most planning systems do not have.
- The work is equal parts applied research and production delivery.
Responsibilities
- Build demand and spare parts forecasting models using probabilistic, hierarchical and intermittent demand methods, including where history is short or volatile
- Define evaluation metrics, build backtesting pipelines and run controlled experiments to improve accuracy and bias
- Build supply planning and multi-echelon inventory optimization models with capacity constraints and variable lead times
- Build simulation and scenario analysis so planners and S&OP leaders can compare options and trade-offs
- Own the path from research to production with ML engineering, with monitoring, retraining and clear explanations of results
Requirements
- Candidates must be based in the Bay Area, CA and are expected to report to our Pleasanton office 5 days a week.
Nice to have
- Hands-on Python with optimization solvers (Gurobi, CPLEX, OR-Tools or similar) and forecasting libraries (statsmodels, GluonTS or similar)
- Strong statistical modeling and good judgment on when simple methods beat complex ones
- Experience with real supply chain data, ideally at a planning vendor such as o9 Solutions, Blue Yonder, Kinaxis, Oracle or SAP, or at a large manufacturer
- Experience shipping models to production, not only notebooks
- Multi-echelon inventory, Bayesian methods for demand sensing, or publications in applied OR and ML are a plus
Compensation
- $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
- Use causal and external signals, and cross-domain signals from the knowledge graph such as asset health, logistics and procurement
Company info
- Write up methods and results clearly for product, customers and leadership
Equal opportunity
- Avathon is an Equal Opportunity Employer.
- If you need a reasonable accommodation, please contact us to discuss how we can assist you.
This listing is sourced directly from Avathon's careers page and normalized into a canonical job model.