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Amazon Sr. Applied Scientist, 7815 - Seller Pricing & Shared Services in Seattle, Washington

Description

At Amazon, a large portion of our business is driven by third-party Sellers who set their own prices, and run their own promotions. The Pricing team is seeking a Sr. Applied Scientist to use statistical and machine learning techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems, helping Sellers offer Customers great prices, deals and promotions.

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.

Join us in revolutionizing forecasting methods and driving actionable insights for our customers and sellers.

We are open to hiring candidates to work out of one of the following locations:

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.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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