Applied Scientist
Vancouver, BC, CA
19h ago
source :


Brand Protection team is looking for an Applied Scientist who will help accomplish our mission to make Amazon the safest place to shop and the most trusted place for Brands to sell their products.

We are focused on identifying Brands, related products and their representatives by leveraging terabytes of product and Intellectual property data to protect our Customers and Brands from counterfeit and infringing offers.

We are looking for someone who is passionate about solving hard business problems using Machine learning and statistical techniques and build full-

stack data solutions including feature definition, feature generation, model development, deployment and retraining. If you are someone who enjoys tackling ambiguous problems, use experimentation to iterate on effective solutions that leverage Amazon's large-

scale computing resources and obsessed to provide the best experience for our Customer and Brands, then you will fit right in.


  • A MS in CS Machine Learning, Statistics, Operational research or in a highly quantitative field
  • 3+ years of hands-on experience in predictive modeling and large data analysis
  • Experience with modeling tools such as R, scikit-learn, MxNet, Tensorflow, numpy, scipy etc.
  • Communication and data presentation skills
  • Strong problem solving ability

  • A PhD in CS, Machine Learning, Statistics, Operational research
  • 4+ years of industry experience in predictive modeling and analysis
  • Experience with large scale distributed systems such as Hadoop, Spark etc.
  • Good skills with SQL and a scripting language such as Python
  • Fluent in a modern programming language such as Java, C, C++, or Scala
  • Apply
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