Job Description: Business Overview Payment systems, including credit cards, electronic money, and web/app-based payment systems, have become an integral part of our daily lives. Rakuten Card boasts over 30 million issued cards and has achieved the No.1 position in Japan for credit card shopping transaction volume (self-issued basis)*1. Even as an industry leader, we continue to grow without slowing down, aiming for the ambitious "Triple 3" goals: 30 million issued credit cards, 30 trillion yen in shopping transaction volume, and a 30% market share in the credit card industry. *1 Based on shopping transaction volume of self-issued credit cards in Japan for FY2023, according to Yano Research Institute Ltd. (as of November 2024). This research result is an estimate based on qualitative research and analysis methods. Department Overview Our system department handles all systems supporting Rakuten Card's service lineup, including responding to the rapidly increasing number of members and transaction volumes, as well as enhancing the functionality of Rakuten e-NAVI and the Rakuten Card app. The scope of responsibility spans payment systems, debt management systems, Rakuten e-NAVI, the Rakuten Card app, and call center systems. Working with us provides the opportunity to engage in cutting-edge technology from the upstream stages, offering engineers a highly stimulating experience. Position: Why We Hire Rakuten Card is seeking data engineers to support new improvements and projects aimed at unlocking the value of existing data as part of our efforts to achieve the "Triple 3" goals. Our team aims to leverage data for all Rakuten Card services. We focus on building data infrastructure, organizing various data, providing data to different business units, and promoting data utilization for all Rakuten Card services. Position Details Build data pipelines and data warehouses, as well as provide integrated analytics environments, including BI tools. Define data collection requirements in collaboration with business teams and create new revenue-generating services using data. Work Environment Mid-career hires: 60% New graduates: 40% Backgrounds: SIers, web-based system development companies, etc. OS: Linux, RHEL, Ubuntu Mandatory Qualifications: ・ Business-level communication skills in Japanese or English Knowledge of computer science or related fields ・ Basic understanding of statistics ・ Ability to work independently and collaborate with international colleagues ・ Software development experience, particularly in Python and Java ・ Experience implementing machine learning frameworks such as TensorFlow, scikit-learn, PyTorch, or Keras ・ Basic knowledge and operational skills in Linux ・ Knowledge of SQL and relational databases Desired Qualifications: ・ Knowledge of data science methods such as regression, decision trees, and clustering ・ Experience in natural language processing using neural networks ・ Experience managing and operating big data using tools like Spark, Parquet, Hive, Impala, or Kafka ・ Experience designing, developing, and operating AI infrastructure using cloud or Kubernetes ・ Experience analyzing data using data warehouses or BI systems ・ Practical experience in developing and operating business systems involving large-scale data and transactions Other Information: Additional information on Location Fukuoka Office Additional information on Secondment You will be employed by Rakuten Group, Inc. and seconded to Rakuten Card Co., Ltd. ※For more information, please refer to the links below: ----------------------------------- ▼About Company ・History of the Rakuten Brand ・Rakuten Group as a Global Company ・Giving Back to Society ▼ Latest Company News ・Press Release ・Investor Relations ▼ Video Links ・Other Rakuten Group Activities ▼ Conditions of Employment ・Rakuten Group Employee Benefits ----------------------------------- #engineer #datascientist #fintechgroup #RakutenCard Languages: English (Overall - 2 - Intermediate), Japanese (Overall - 3 - Advanced) In Japanese, Rakuten stands for ‘optimism.’ It means we believe in the future. It’s an understanding that, with the right mind-set, we can make the future better by what we do today. So we challenge ourselves to evolve, innovate and experiment, to create a better, brighter future for everyone. Today, our 70+ businesses span e-commerce, digital content, communications and fintech, bringing the joy of discovery to almost 1.3 billion members across the world. If you have any trouble logging in, please contact us here Rakuten Group, Inc.: rakuten-recruiting-info@mail.rakuten.com *Please read the Application Requirements(EN) / 募集要項(JP) before applying. Our Diversity & Inclusion Policy and Application Documents Rakuten’s corporate mission is to “contribute to society by creating value through innovation and entrepreneurship.” We foster a culture that provides equal opportunities to those who share this founding philosophy and take on the challenge to transform society, regardless of age, gender, nationality, or any other status. Diversity is one of Rakuten's core strategies and a driving force for innovation. Because of this, you are not required to submit any of the following information in order to apply for our job positions. - Gender - Age - Photo - Nationality* - Information not related to business, such as ideological beliefs, family structure, etc. * For legal compliance, we may ask you about your work eligibility. See the details

Data Scientist - Data Intelligence Department, System Division, Rakuten Card Co., Ltd. (Secondment).

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