Research Scientist Intern

Employer: Amazon Dev Ctr (Romania) S.R.L.
Domain:
  • Engineering
  • Internship
  • IT Software
  • Job type: full-time
    Job level: Student/Graduate
    Location:
  • Iasi
  • Updated at: 07.12.2016

    Job Description

    Amazon Development Center Romania is seeking a passionate Research Scientist Intern who combines technical, research and analytical skills capabilities to address increasingly complex business questions within the Customer Analytics group. We process big data sets of website traffic in order to identify and understand customer behavior on Amazon websites. By understanding traffic flows and customer behavior across Amazon websites, we empower data-driven business decisions and forecasts for future of e-commerce and future device capabilities. Customer Behavior data creates multi-million-dollar business opportunities allowing Amazon strong and sustained growth rates. 

    We are looking for talented graduate students who can mine billions of rows of real world customer interaction data to transform it into business insights. You will build causal models to understand the impact of various events on customer behaviors. As a Research Scientist intern you will be working in one of the world's largest and most complex data environments and you should be passionate about working with such large data sets. 

    As an intern you will be part of the team, sharing the everyday software development and research process. You will work under the direct coaching of a dedicated mentor on data mining and will have support from the engineering team on surfacing the data you need. You will interact with partner teams to better understand your requirements and receive iterative feedback on your results.
     

    Basic Qualifications

    • Currently enrolled in a PhD Program with a degree in Mathematics, Statistics, or in a field of experimental science
    • Strong communication and data presentation skills
    • Strong problem solving ability
    • Experience with predictive modeling, customer profiling, hypothesis testing, regression techniques
    • Fluency in a high-level modeling language such as MATLAB or R.
    • Experience with scripting languages (such as Python or Perl) to extract, transform, and clean big data sets in a Unix/Linux environment to process data for modeling
    • Experience in using SQL to analyze data in a database or data warehouse
    Build quantitative mathematical models to represent a wide range analytical systems. 
     

    Preferred Qualifications

    • Ability to convey rigorous mathematical concepts and considerations to non-experts.
    • Ability to distill problem definitions, models, and constraints from informal business requirements
    • Advanced software development skills.
    • Experience with visualization of data.
    • Experience working in small teams and shipping products.