Sr Applied Scientist, Product Detail Page

Amazon Amazon · Big Tech · Seattle, WA · Applied Science

The role involves building and optimizing machine learning algorithms for Amazon's Product Detail Page to improve customer experience. It requires developing next-generation technologies, incorporating customer preferences, and scaling with new programs. The scientist will work on algorithm design, present findings to executives, and contribute to company-wide technical standards in optimization and statistical modeling.

What you'd actually do

  1. Develop the next-generation technologies and experiences that change how millions interact and shop online.
  2. We are looking for an Applied Scientist to help build the next generation of Detail Page optimization algorithms.
  3. You will work with multiple Amazon businesses and programs to identify big business opportunities and propose new business features and technical systems to improve customer experience on Amazon Detail Page, Search Page and many other widgets throughout the website.
  4. You will be responsible for the quality of algorithm design and will get the opportunity to present your ideas and share results of your deliverables with Amazon executives on a frequent basis.
  5. You will get an opportunity to work with senior scientists to define and enforce broad, company-wide technical standards in optimization techniques, statistical modeling and simulation techniques, and/or data analytics.

Skills

Required

  • building machine learning models for business application experience
  • PhD, or Master's degree
  • Experience programming in Java, C++, Python or related language
  • Experience with neural deep learning methods and machine learning

Nice to have

  • Experience with large scale distributed systems such as Hadoop, Spark etc.
  • Experience with conducting research in a corporate setting

What the JD emphasized

  • building machine learning models for business application experience

Other signals

  • develop the next-generation technologies
  • leverages sophisticated econometric, machine learning, and big data technologies
  • build the next generation of Detail Page optimization algorithms
  • incorporate the continually changing preferences of our customers
  • scale with numerous new programs
  • identify big business opportunities
  • propose new business features and technical systems to improve customer experience
  • quality of algorithm design
  • present your ideas and share results of your deliverables with Amazon executives
  • work with senior scientists to define and enforce broad, company-wide technical standards in optimization techniques, statistical modeling and simulation techniques, and/or data analytics