Applied Scientist: Optimization for Supply Chain & Risk
$170k - $240kOptimized, Inc.
A leading optimization firm in San Francisco is seeking an applied scientist to develop optimization and decision-making systems for supply chain challenges. The role involves designing algorithms, building quantitative models, and collaborating with ML engineers. Ideal candidates will have a PhD or MS in a quantitative field, strong optimization expertise, and proficiency in Python. This position offers a compensation range of $170,000 - $240,000 plus equity. #J-18808-Ljbffr Optimized, Inc.
Vacancy posted 3 days ago
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