Data Scientist
楽天グループ株式会社
- Python
- Machine Learning
- SQL
- Linux
- Data Analysis
- JAVA
- Kubernetes
- Cloud
- PyTorch
- TensorFlow
- Scikit-Learn
- Spark
- Keras
- Data Warehouse
- Ubuntu
- Hive
- Kafka
- RHEL
- Clustering
- Parquet
- BI System
- Neural Networks
- Impala
- Regression
- Trees
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Fukuoka
-
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
Work related to data model verification, new data model design, implementation, and other team collaboration, implementation of data management system, implementation of efficient data management, introduction of new tools for data management, strengthening of data management system and data architecture, and provision of a solution that contributes to the strengthening of data management and data accuracy. Experience in practical implementation of machine learning frameworks such as Python and Java, as well as machine learning algorithms such as TensorFlow, scikit-learn, PyTorch, and Keras is required.Duties
As a data scientist at Rakuten Card, you will be responsible for supporting data model verification, design, and detailed implementation. You will be actively involved in the verification of new data models, collaborate with other teams, and share the management of data management systems. You will be responsible for deciding on the development of products for project development, and will provide clear and concise recommendations for technical, product, and specific solutions. In addition, you will be responsible for the introduction of new tools for data management and the strengthening of data management systems for project development.Login to see all information about offers.
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