Data Science Engineer
楽天グループ株式会社
- Python
- GCP
- Machine Learning
- SQL
- JAVA
- C++
- Deep Learning
- R
- natural language processing
- Data Science
- DevOps
- C
- Spark
- Hadoop
- Scala
- Computer Vision
- Data Mining
- Hive
- JSON
- Unix/Linux
- Parquet
- AWS)
- Mahout
- H2O)
- Cloud Platforms (Azure
- Big Data ML Toolkits (SparkML
- Avro
- GEO/GIS Data Processing
- Agile Software Development
- Geo-spatial Data
- Full-stack Data Science
- Spark SQL)
- Big Data Querying (Pig
-
Tokyo
-
Over 10,000
Company Info
Rakuten Institute of Technology (RIT) is a core AI research institute in Rakuten, and has 6 strategic bases in Tokyo, Singapore, Boston, San Mateo, Bengaluru, and Paris. We conduct cutting-edge research in machine learning, deep learning, natural language processing, computer vision, knowledge discovery, and data mining, and have a dedicated AI research team that specializes in data mining, and optimization of user experiences and marketing effectiveness within the Rakuten Group. We conduct advanced research in machine learning and bandit algorithms, and conduct the forefront research of reinforcement learning and optimization of the bandit algorithm within the Rakuten Group.Job Summary
As a Data Science Engineer at Rakuten Institute of Technology (RIT), you will be responsible for collaborating with the movement of the office and the development of data science applications, and collecting and analyzing data. You will also be responsible for the development and management of data science applications, and collecting and analyzing data, and setting evaluation metrics and calculating whether they are met. You will also be responsible for adapting to the specific business needs, and designing, developing, testing, and deploying.Duties
As a Data Science Engineer at Rakuten Institute of Technology (RIT), you will be responsible for collaborating with the movement of the office and the development of data science applications, and collecting and analyzing data. You will also be responsible for the development and management of data science applications, and collecting and analyzing data, and setting evaluation metrics and calculating whether they are met. You will also be responsible for adapting to the specific business needs, and designing, developing, testing, and deploying.Login to see all information about offers.
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