Algorithms, Apache Hive, Big Data Technology, Data Engineering, Data Mining, Data science techniques, Database, ETL frameworks, H2O, HBase, HDFS, Java Programming, Kali Linux, Machine learning techniques, Management, NoSQL, Python Programming, REDIS, SPARK Programming, SparkML, SQL, VR/AR frameworks
Rakuten group has almost 100 million customer base in Japan and 1 billion globally as well, providing more than 70 services in a variety such as ecommerce, payment services, financial services, telecommunication, media, sports, etc.
Department Overview
AI Success Supervisory Department (AISSD) provides data science initiatives by leveraging Rakuten group’s data. The department has international culture created by excellent employees joined around the world and provides the cutting-edge data science. Following the strategic vision “Rakuten as a data-driven membership company”, AISSD is expanding our data activities across our multiple Rakuten group companies.
Position Details
We are looking for a Data Engineer/Data Science Engineer to work within one of the following departments within our AI Success Supervisory Department (AISSD):
Mandatory Qualifications:
Desired Qualifications:
Rakuten is the one of the largest internet services company globally and provides more than 70 services spanning eCommerce, finance, telecommunication, sports and much more to over 1.4 billion customers worldwide. Rakuten Institute of Technology is the R&D lab of Rakuten group with teams in Tokyo, Boston, San Mateo, Paris, Singapore and Bangalore and is in charge of the “core science” part of Rakuten AI platform programs.
Tokyo, Japan
2-4 year
Tokyo, Japan
2-4 year
Tokyo, Japan
2-4 year
Tokyo, Japan
2-4 year
Tokyo, Japan
2-4 year
Tokyo, Japan
2-4 year
Tokyo, Japan
4-6 year
Tokyo, Japan
4-6 year