R&D Engineer

Contract type
Web Marketing / Advertising
Company Type
日系企業/Japanese Company
5 Million yen〜12 Million yen
Japanese Level
ビジネスレベル/Business Level
English Level
Other Language Skills

Job Description

Data is accumulated enormously every day from services that have the top share in Japan. R & D engineers handle this data and contribute to the creation of new value in a wide range of areas. Data Promotion Office is an organization responsible for data utilization, data governance management, data product development, and operation. Currently, there are about 300 employees, and employees with various expertise in data science/engineering/business belong to it. ■ Style aimed at by the Data Promotion Office They aim for a style in which engineers and data scientists work across all business areas to achieve business expansion and personal growth at the same time. ■ Future image of the Data Promotion Office ・ They will proceed with maintenance so that 45,000 employees can use data safely and freely. ・ Rather than only some engineers and data scientists using data, using data with all employees causes “unpredictable big changes” ・ Create an environment where data can be used and create a future that you cannot imagine yourself. Data can be safely and freely used, and the ground is steadily solidified for the next generation of talented people. ・ To "engineering" core competencies that generate profits. Establish a style of growth with the power of technology and strengthen business competitiveness [Role of work] ・ Planning/model design/implementation and improvement of products that combine advanced technology and data utilization. ・ Data infrastructure study and development to efficiently provide/operate the above products [Specific business example] ・ Planning, development, and installation of data utilization products that streamline/optimize offline activities such as sales and CL operations ・ Planning, development, and installation of products that combine advanced technologies such as IoT and AR with data utilization ・ Implementation of a machine learning model for unstructured data ・ Inventing and implementing technical solutions for action and maximizing sales 【Development environment】 ・ Programming language SQL, Python, R, Swift, etc. ·infrastructure GCP (BigQuery, etc.) AWS (EC2, EMR, Redis, S3, etc.) ・ Team development tools JIRA, Confluence, Bitbucket, Gitlab / Gitlab CI, Slack, etc.

Required skills

(REQUIREMENTS) ・ You can plan and develop R & D themes by considering the utilization of technology from a medium- to long-term perspective. ・ For business issues, you can appropriately select statistical analysis/machine learning methods, model them yourself, and output them. ・ Understand the principles of descriptive statistics, inference statistics, and basic machine learning algorithms. ・ Understand the contents of papers and conference presentations related to data science, and be able to implement and evaluate prototypes by yourself. (WANT) ・ Based on the conceptual design, you can program at the production level as you intended as a member. ・ Leading experience in product development