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Researcher (Applied Behavior Analysis) : RIT

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R&D Scientist
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Rakuten, Inc.
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00011464 Requisition #

We are searching for a Researcher to join our Applied Behavior Analysis Team. This position will apply machine learning and data mining techniques to solve challenging problems, builds models and solutions in order to provide satisfactory experience to our customers. We work on large-scale data across Rakuten's ecosystem for distinct applications including recommendation, accurate targeting, prediction, anomaly detection and campaign optimization, etc.

 

We collaborate closely with the business and engineering teams, listen to business requirements, develop and scale up algorithms, implement prototype and support deployment in production environment. Our research topics are machine learning, deep learning, data mining, reinforcement learning and probabilistic modeling, etc.

  

We are looking for talented researchers and data scientists with experience and strong motivation to join our team.


Responsibilities:

  • Develop and innovate state-of-the-art algorithms, implement prototypes
  • Identify opportunities, define research proposals and align with business requirements via communication with stakeholders (business and engineering teams) 
  • Collaborate with researchers in other research areas to maximize added value
  • Support engineering teams to adapt prototypes in production
  • Follow up project status in production and iteratively upgrade the solution if necessary

Minimum Qualifications:

  • Master’s degree in computer science, mathematics, physics, related machine learning field or equivalent practical experience
  • Understanding of basic mathematics, statistics and machine learning
  • Strong programming experience in one or more of the following: Python, Scala Java, C, C++, Ruby
  • Experience with data processing and feature engineering
  • Development experience in Unix/Linux environment
  • Experience in distributed computing such as Spark and Hadoop  
     
Preferred Qualifications:
  • Doctoral degree in computer science, mathematics, physics, related machine learning field or equivalent practical experience
  • Experience with AI/ML publication, contributing to research communities
  • Understanding of advanced mathematics, statistics and deep learning
  • Passion for contributing to businesses by applying innovative solutions to real world problems

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