Data Scientist, Relevancy - Search Section, Findability Department (FID)

Key Skills

C Programming, C++, Cloud computing, Data science techniques, Java Programming, Machine learning techniques, MATLAB Programming, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Rakuten is the biggest marketplace of Japan and is the largest internet ecosystem with wide range of services ranging from e-Commerce, Travel, Banking, Fintech, Food Delivery, Golf, Insurance, Instant Messaging, Mobile Network etc. Rakuten has over 140 services globally. Our mission is to empower people and society through the internet while aiming at becoming the Global Innovation Company.

Department Overview

Rakuten’s technology organization has more than 1000 employees across Product Management, Research, Analytics, Product Development and Operations. Rakuten’s technical organization is responsible for building products that enable various business of Rakuten globally.

With over a billion of Rakuten users interact with Rakuten's interfaces, where the growing number of user interface (UI) elements (search results, recommendations, advertisements, etc.) is commanded by computer control systems that continuously optimize UI response to better serve both users and shareholders.

Position:

Why We Hire

These intelligent data processing systems convert the daily terabytes of user behaviour data into KPI-optimising control signals. To build the hearts and brains of such systems, we need individuals who combine engineering and research abilities to apply a mix of techniques from advance mathematics, statistics & deep learning on a distributed scale.

Position Details

In this position, you will focus your data science and deep learning skills to extract various signals from the marketplace that could be used by these intelligent systems to learn and provide better relevancy to shoppers in their shopping journey. Your work would help Rakuten on its mission of making shopping an entertaining experience for shoppers, while helping merchants across the board have better sales. You shall be working closely with other Data Scientists, Software engineers & Architects in building and scaling these solutions.

Ideally, you are familiar with dynamic choice of state abstraction / learning state space representation / utile distinctions methods and ready to implement them on large scale. Your algorithm designs will have to embed the business values the systems are expected to abide.

Demonstrably increase business value of e-commerce search by designing and improving 

Mandatory Qualifications:

• Master’s Degree in Mathematics, Physics or other Quantitative Science fields with practical experience in Statistics, Deep Learning.
• Strong software development ability in Java, Python or other general purpose language(s)
• 3+ years actionable data analysis experience, preferably in e-commerce

• Ph.D. in Mathematics, Physics or other Quantitative Science fields with practical experience in Statistics, Deep Learning.
• Reinforcement Learning, statistical machine learning, or categorical data analysis background
• 5+ years actionable data analysis experience, preferably in e-commerce
• Experience working with very large data sets
• Experience with distributed systems
• Working knowledge of NoSQL storage technologies and Hadoop ecosystem