Сalifornia, Santa Clara, San Francisco Bay Area - кремниевая долина
Work for major US retail corporation.
The project is focused on development of the next-gen solution for pricing and inventory optimization at extreme scale using advanced ML methods
The project aims to create a highly automated and dynamic price/inventory management system by using reinforcement learning methods, combinatorial optimization, and customer choice modeling
The project includes several teams that work on different aspects of the solution (pricing, assortment, logistics, etc.)
The ML part of the solution incorporates a wide range of enterprise data including transactional, product, and market data
Requirements
- Good Python
- Reinforcement Learning experience
- Combinatorial Optimization experience
Roughly, duties are:
Running machine learning experiments
Deploying machine learning solutions
Optimizing solutions for performance and scalability
Data engineering
Implementing custom machine learning code.
Data science
Please note, duties depends on a skillset of candidate.