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Research Scientist

Research Scientist

Job ID 
Posted Date 
Amazon Corporate LLC
Position Category 
Machine Learning Science
Recruiting Team 

Job Description

HIT is a new group of seasoned engineers, product managers, designers and scientists DETERMINED to redefine how our customers purchase products for their home. We believe that the objects that we choose to surround ourselves with have a huge impact on our quality of life. Not only they need to be useful, but they need to be beautiful, reflect our style, bring joy and make us proud. In addition, some of these products are also the largest purchases our customers make after their home and car, therefore we must provide them with the right information/experiences to help them make the right decisions and bring comfort in purchasing the products online.
As with every project within Amazon, we work backwards from our customer's needs and the challenges they have. Our team will tackle some of the toughest problems in retail:
  • Streamline the purchase experience for large items such as furnitures and remove all stress in the process. It will be as easy as purchasing a book.
  • Inspire our customers with beautiful experiences and relevant products.
  • Personalize customer experience to help them find useful products that match their preferences and styles.
  • Provide expert advice and information that help guide our customers in their decision making process.
  • Allow customers to create their personal styles and use that to influence the website's shopping experience.
  • Improve the customer's search experience on the website by providing intelligent filter using user profile and life events.
In order to achieve our vision, we think big and tackle technology problems that are cutting edge. Where technology does not exist, we will built it. Where it exists we will need to modify it to make it work at Amazon scale. As the problem is so wide and the team new, we need members who are passionate and willing to learn:
  • Image processing and augmented reality. Imagery and deep experiences are an important factor in our success. If you are passionate about this area, join us.
  • Amazon scale systems. All our technology needs to work at Amazon scale, serving hundreds of millions of customers with millisecond level latencies.
  • Big data & analytics. Amazon is data driven and a strong data backbone is necessary in our systems. We build upon core AWS services such as EC2, S3, DynamoDB, etc. If you are interested in learning or gaining expertise, join us.
  • Personalization and machine learning. All technologies will be used in experiences adapted to what customer need, want or prefer. We will be working with advanced machine learning technologies to tackle these problems.
  • User interface & web development. We will create beautiful and dynamic frontend experiences that requires deep knowledge of relevant technologies such as AngularJS, JQuery, Horizonte, AUI, etc.
We are a tightly net group that share our experiences and help each other succeed. We love hard problems and like to move fast in a growing and changing environment. We use data to guide our decisions and we always push the technology and process boundaries of what is feasible on behalf of our customers. The most successful members of our team are obsessed with helping our customers in creative ways, and bring clarity to ambiguity through data driven experimentation. If that sounds like an environment you like, join us.

You will be an Applied Scientist. The work that we will do in our team will succeed only if we make full use of the Amazon data and help our customers find the right products for their preferences & needs. You will be at the core of this effort - working to improve the product descriptions, the search algorithms, creating new experiences and personalization algorithms. It will require skill in understanding complex user scenarios, finding and implementing the right algorithms and ultimately a data driven approach to deliver results.
Major responsibilities:
  • Develop machine learning and analytical techniques for intelligent information retrieval/classification system to solve business problems.
  • Design, develop and deploy highly scalable machine learning models.
  • Analyze and understand large amounts of Amazon’s historical business data.
  • Working closely with software engineering teams to build machine learning based features & products
  • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
  • Track business impact of the science work and providing clear updates
  • Mentor other engineers in the use of ML techniques
#hltech #hitech *scijobs

Basic Qualifications

  • A PhD in CS machine learning, Operational research, Statistics or in a highly quantitative field
  • 5+ years of hands-on experience in predictive modeling and large data analysis
  • 5 years SAS/R/Python/Matlab/SQL experience
  • 2+ years industrial experience in an analysis or research role with progressively increasing responsibility
  • 2+ years of experience in scripting for data analysis (Perl, Awk, Python, etc)
  • Eager to learn new algorithms, new application areas and new tools.
  • Excellent communication skills
  • Strong skills in problem solving, programming and computer science fundamentals
  • Strong algorithm development experience

Preferred Qualifications

  • Ph.D. in an analytical area such as Mathematics, Statistics, Computer Science, Physics, Engineering or similar
  • 10 years of industry experience in predictive modeling and large data analysis
  • Strong skills with SAS/R/Matlab and SQL
  • Strong skills with Spark/Perl/Python(or similar scripting language) and Java/C++
  • Solid knowledge of statistics and probability
  • Experience in designing and implementing information retrieval, web mining and neural network and other classification algorithms.
  • Experience with large scale data analysis tools such as Spark, Hadoop, etc. AWS experience is a plus.
  • Programming experience in C++ or Java
  • Big thinker that can take broad visions and concepts and develop structured plans, actions and measureable metrics and then execute those plans.
  • Comfortable working in a fast paced, highly collaborative, dynamic work environment
  • Ability to communicate effectively across multiple organizations in the company


Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation