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Staff Applied Scientist - Forecasting
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- We tackle these problems with a mix of machine learning, large-scale simulation, and optimization technologies.
- This will include modeling seasonal demand, rare events, promotion cannibalization, and aggregating correlated demand across multi-echelon systems.
- By the end of your first year, you will have led the implementation of fundamental changes to our core forecasting system and led research into forecasting extensions (multi-echelon forecasting, rare event modeling).
- 5+ years of experience in neural network libraries (Pytorch/Tensorflow/JAX).
- Proficiency in Pytorch preferred, or willingness to transition from Tensorflow/JAX.
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