Data Scientist

Contract type
SaaS / Software Vendor
Company Type
日系企業/Japanese Company
5 Million yen〜7 Million yen
Japanese Level
ビジネスレベル/Business Level
English Level
Other Language Skills

Job Description

▼Goal as a Data Analysis Team The company started building the analytics infrastructure in December 2019 and have been able to build the infrastructure to a level where they can perform stable analysis and visualization of the current product. In the meantime, the product continues to grow, and the number of requests for analysis and visualization coming to the data analysis team is rapidly increasing. The company is also planning major growth investments across the board for 2022, which will require increased accuracy in decision making. They are looking for an experienced person to join our team to support management-level decision making and data-driven product growth. ▼How to proceed with data analysis work Data analysis members use user behavior data accumulated in the analysis infrastructure for visualization and analysis. They support the decision-making of all teams, including business and development, as well as strategy, product managers, and planning. ▼Work they want you to do together <Assumed tasks in the near future> ・Operation/improvement of analytical infrastructure (APM, ETL, data lake, data warehouse, security) ・Data extraction/reporting to support management level decision making <Medium-to-long term assumed tasks> ・Propose essential UX improvements through analysis and growth hacking ・Propose improvements from a quantitative perspective to management and strategy ▼Technology Stack Typescript、React、Redux (Redux tool kit、RTK Query)、Cypress、CircleCI、Javascript (ES6)、Golang、Ruby on Rails、Python、Neo4j、DynamoDB、 ElasticSearch、Aurora、 MySQL、AWS、Docker、Kubernetes、GitHub

Required skills

[MUST] ・2+ years of experience in building/operating data infrastructure ・Experience in application development using AWS or GCP ・Experience in project management ・Experience in growth hacking using data [WANT] ・Experience in supporting business decisions with data analysis ・Experience in building and operating a large scale data warehouse/data lake ・Certification in AWS/GCP ・Experience developing applications using Rails/React