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Research Scientist- Search (Natural Language processing, Optimization, Text Mining)

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US, WA, Seattle • Job ID 193781 • Amazon Corporate LLC

Job Description

Research Scientist – Amazon Search and Discovery

Amazon.com's Search and Discovery team builds the systems and user interface to enable the fastest product discovery experience for Amazon desktop and mobile customers worldwide. We delight in data, and are constantly trying to make more informed decisions using advanced data mining techniques including prediction modeling, machine-learning, text-mining, and natural language processing. Our research scientist community is new, and we are looking for hands-on senior researchers to help us grow the team and drive data-based innovations.

About you:
You're a scientist looking for a career where you'll be able to lead, to deliver, and to influence. You look at problems holistically, and thrive on the intricate complexity of designing multi-factor experiments and analyzing large quantities of data. You want to work on projects where you are implementing creative solutions to real problems and develop deep understanding of the problem space. You challenge yourself and others to constantly come up with better solutions. You're a thought leader, and you back up your ideas with data. You want to create value and impact the direction of entire industries.

About us together:
We're going to change the way that customers search and discover products online. Along the way, we're going to face seemingly impossible problems. We're going to argue about how to solve them, and we'll work together to find a solution that is superior to each of the proposals we came in with. We'll make tough decisions, but we'll all understand why. We'll be the dream team.

Some problem spaces we'll be working on: 
PREDICTION MODELS- There's an almost overwhelming amount of data available, and we need to make use of it to build the best predictors of which features are likely to have an impact and which aren't. We're constantly testing out new features and accurate prediction saves us the cost of unneeded cycles of development and experimentation. You’ll need to be both an engineer and scientist – you’ll build the platforms to test and measure your hypotheses, iterate on your designs, and find innovative signals and solutions that fundamentally shift the effectiveness of our systems. 
CUSTOMER SEGMENTATION – As the earth’s most customer-centric company, we strive to understand our customers and anticipate their unique needs. We have a wealth of data already about the customers we interact with; what they've been shopping for, what they've recently purchased, etc. This data can be used to help us decide what else they are likely to be interested in and to respond to. Accessing this data and coming up with creative ways to delight customers with it requires advanced analytics and thought leadership. You will need to consider the problem holistically from a customer experience perspective.

You may already know if you're a fit, but perhaps you're worried about technology and experience requirements? Don't be - we're looking for smart, proven scientists; if you're the right candidate, we're flexible. You're still worried? Here are some things that we'd prefer to see, though none is independently a requirement:
  • Ph.D. in Computer Science, Statistics, Bioinformatics, or a Master’s degree with three years of related experience
  • at least one year of experience performing an analytical function using machine-learning, text-mining or natural language processing techniques
  • at least one year of experience mining large data sets
  • at least one year of experience performing research using R, SQL, or other data mining tools
  • proven record of applying algorithmic solutions to real-world applications, preferably in data-rich fields such as e-commerce, bioinformatics, or finance
  • experience in innovative data visualization
  • experience with Java or C++ and scripting languages such as Python or PHP.
  • experience with hadoop not required, but definitely a plus
  • experience mentoring and training the research and engineering communities on complex data issues
  • sharp analytical abilities and strong communication skills
  • track record of delivery

Basic Qualifications

• MS in Statistics, Computer Science, Bioinformatics or related discipline
• Excellent knowledge of MySQL, Oracle, and OLAP
• Extensive experience in data mining and analysis of large datasets
• Ability to translate business requirements into reporting solutions
• Ability to analyze mined data and extrapolate conclusions

Preferred Qualifications

  • PhD greatly preferred, but not required
  • Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts.
  • The ability to distill problem definitions, models, constraints from informal business requirements; and to deal with ambiguity and competing objectives.
  • Knowledgeable about search and/or information retrieval techniques and website click-stream analysis
  • Solid written and oral communication skills for presenting data findings across the company
  • Self-starter, inquisitive about Search features and their impact on Amazon customers
  • Domain knowledge and experience with the following areas:
    Information retrieval, web search, relevance
    Statistics, machine learning, data mining, Algorithms , optimization, Text Mining
  • Experience with large data sets, experiment design and analysis
Job Category:


Career Level:

Mid Career (2+ years of experience)

Job Type:

Full Time/Permanent