Data Scientists

Contract type
IoT /AI / AR / VR / MR
Company Type
日系企業/Japanese Company
6 Million yen〜7 Million yen
Japanese Level
English Level
Other Language Skills

Job Description

You will be in charge of analyzing data received from clients using natural language analysis methods and AI algorithm software, our own product. This is a position that connects the data to the business and is suited to those who find it interesting to make proposals to clients in a data-driven manner. (1) Processing and formatting of customer data. (2) Analyzing the customer's text data with natural language. (3) Statistical inference and reporting on the analysis results. (4) Survey and research work on the methods of analyzing human functions. (5) Construction and provision of knowledge base related to various industry operations. <Attractiveness of the Position> The position to be able to use the profound profiling of human functions and AI technology. As the work makes full use of the latest technology, it is possible to acquire technology with future potential. If you already have the technology, you can focus on investigating, researching and commercializing new analysis methods. Since this is a business division, it is possible to acquire a wide range of business and industry knowledge while interacting with customers from various industries. In principle, data analysis will be performed using our own proprietary algorithm engine, but we will also be able to use open-source algorithms in parallel, as well as other companies' algorithms. Basically, data analysis is performed using our own proprietary algorithm engine, but there are also projects that involve parallel use of open source algorithms and other companies' technologies (image analysis technology, etc.).

Required skills

[Requirements] At least 2 years of experience in data analysis At least 2 years of experience in Python business use Knowledge of statistics and natural language processing [Welcome] (1) Programming skills using R, Python, Java, Scala, etc. (non-work experience such as participating in hackathons is acceptable) (2) Experience in data analysis using an ad-hoc analysis platform such as Jupyter (3) Experience in using virtualization such as Docker (can be used for testing in data analysis environment, not for application development)