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Amazon Sr Applied Scientist - Seller Pricing & Shared Services 
United States, Washington, Seattle 
798575941

12.06.2024
DESCRIPTION

The Applied Scientist will apply advanced techniques like Recurrent Neural Networks (RNNs), Long Short-Term Memory networks (LSTMs), CNNs and Transformers to develop robust price and deal forecasting models.Proficiency in Python, TensorFlow, or PyTorch is essential, with a strong understanding of deep learning techniques. Experience in forecasting domains such as finance, weather, or demand planning is highly valued.Seattle, WA, USA

BASIC QUALIFICATIONS

- 4+ years of applied research experience
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning


PREFERRED QUALIFICATIONS

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.