Applied Scientist Ii, Detail Page

Amazon Amazon · Big Tech · IN, KA, Bengaluru · Applied Science

Applied Scientist II role on Amazon's Product Detail Page team, focusing on developing and optimizing algorithms for customer experience on Amazon's website. This involves leveraging machine learning, NLP, and big data technologies to improve product discovery and pricing. The role requires building models for business applications, with opportunities to present to executives and work with senior scientists on technical standards.

What you'd actually do

  1. build the next generation of Detail Page optimization algorithms
  2. incorporate the continually changing preferences of our customers and continue to scale with numerous new programs that Amazon is introducing for our customers
  3. 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. 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. 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 models for business application experience
  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience programming in Java, C++, Python or related language
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Nice to have

  • Experience using Unix/Linux
  • Experience in professional software development

What the JD emphasized

  • building models for business application experience

Other signals

  • machine learning
  • natural language processing
  • optimization algorithms
  • data mining
  • statistical modeling