IDOM CaaS Technology
https://idomcaastechnology.co.jp/IDOM CaaS Technology is a company that provides innovative platforms designed to maximize the value of vehicle use. By leveraging our in-house AI for residual value prediction and our credit screening system, we offer flexible car-life solutions tailored to a wide range of needs. Through leasing, subscriptions, and sales support, we help create the best possible match between people and cars.
Open Positions
Product Manager
IDOM CaaS Technology[Responsibilities] Define goals, formulate roadmaps, and design the organization Analyze the current situation quantitatively and qualitatively, and identify the issues necessary to realize the desired state Design KPIs related to each project and build a monitoring environment Drive initiatives in collaboration with development members Design communication with stakeholders Manage progress and resources Facilitate the entire project Build the project organization and the foundation for project execution, etc.
Front-End Engineer
IDOM CaaS Technology[Responsibilities] Design, development, testing, and other work for front-end applications [Development Environment] Languages: Java, PHP, Ruby, JavaScript, SQL, Python, etc. OS: Linux, Windows, UNIX, iOS, Android Middleware: MySQL, Oracle, etc.
Server-Side Engineer (JAVA)
IDOM CaaS Technology[Responsibilities] Specification of web services on the server side, design, implementation, and maintenance of feature development Database design/development and various data processing tasks. In the future, we would also like to entrust you with roles such as tech lead, depending on your aspirations. [Development Environment] Languages: Java, PHP, Ruby, JavaScript, SQL, Python, etc. OS: Linux-based, Windows-based, UNIX-based, etc. Middleware: MySQL, Oracle, etc.
CAIO Candidate: Sr. Data Scientist
IDOM CaaS TechnologyYou will be responsible for data analysis, development of machine learning infrastructure, and development of machine learning models as a data scientist. This role offers the following advantages: ① Opportunity to work on the development of a wide variety of machine learning models ② Growth opportunities unique to a startup ③ The chance to take on challenges in the cutting-edge field of finance x MaaS Machine learning models related to vehicles: We will apply AI to the know-how cultivated at Gulliver, a used-car buying and selling business, and develop a car pricing model that will become the standard for the used-car industry, as well as services that translate its value to customers. Machine learning models related to people: Using data related to people—such as demographic data, payment data, and driving data collected via IoT devices—we will develop machine learning models that calculate credit scores and driving scores, as well as services that translate that value to customers. *Service development will be carried out in collaboration with the data engineering and application engineering teams. In addition, you will work on data analysis related to problem solving, such as marketing science and lead scoring, to improve the productivity of marketing and sales organizations. You will also be responsible for data engineering to turn the results of that analysis into outcomes, including building data pipelines and setting up an MLOps environment.