【Data Scientist】Famous Manga App / Hybrid work / Japanese N2 level

★Data Scientist / Famous App Development CompanyJapanese: Business Level REQUIRED (N2 Level)★Major IT company: In-house Development★Flextime System & Hybrid Work★Annual salary: 8 million yen - 12 million yen★Global Business & International Environment-------------【About the company】-------------The company is developing an e-comics service for smartphones that allows users to easily enjoy manga works via an app. This service is expanding in the Japanese market as a member of "WEBTOON worldwide service," an alliance of platform services that boasts the overwhelming world's largest scale in this market, with 82 million global monthly users, over 200 million cumulative downloads, and a monthly circulation of over 10 billion yen.The company's service has grown steadily since its release in 2013.＜Most recent results＞・2021 Domestic App Spending Ranking #2 (as of January 2022/Exhibit: App Annie)・Non-Game No. 9 in global mobile app revenue ranking (as of June 2021/exhibit: Sensortower)・No. 1 in Google Play free popular apps ranking (as of December 6, 2021/Exhibit:Google Play)-------------【 Job Description】-------------■Your RoleThe team which you will belong to is responsible for using data to improve the accuracy of decision making on the business side, and to improve products using data.The company's products have a wide variety of data accumulated over more than 10 years of service, and this data is used for personalization, service growth, content growth, marketing, and all other aspects of product and service management. Data scientists play a central role in the utilization of this data, and you will play an active role as a core member of the data utilization team.Responsibilities・Support for analysis of business issues and planning of marketing measures・Decision-making support for each team through KPI design, visualization, and simulation・Design and implementation of effectiveness verification of measures, campaigns, and UI/UX improvements・Promote and implement improvement of recommendation and personalization accuracy in collaboration with the Machine Learning team・Design and operate ranking logic to be deployed within the app・Operational support and optimization of apps using data・Support new business planning・Propose other product improvements based on knowledge gained from analysis■Attractiveness of this position・The service boasts one of the largest user bases in the industry and has a large scale of data and a complex data structure, making it possible to perform a variety of analyses depending on your ideas.・You will be able to conduct analysis in close proximity to the business. The results of your own analysis will directly lead to the growth of the business and services, which is very rewarding.・The company has a flat corporate culture where opinions can be expressed regardless of position or age. You can enjoy proactively proposing improvements and growing the service independently.-------------【 Requirements】-------------■Required・Experience in data analysis using SQL・Experience using BI tools such as Tableau・Expertise in statistical analysis (equivalent to level 2 of the Statistics Proficiency Test)・Experience solving problems through data analysis in research or business・Ability to solve problems and think logically to solve business problems・Communication skills to work smoothly with stakeholders inside and outside the team■Preferred・Experience in project management related to data analysis, especially in driving projects on your own and achieving high business impact results・Extensive knowledge and experience in data engineering and big data infrastructure・Advanced expertise in statistical analysis and machine learning and experience in applying this knowledge to real-world business situations・Experience in data analysis using R and Python・Expert knowledge and experience in AB testing・Experience developing recommendation and personalization models■Ideal Applicants・Love manga and empathize with the company's mission and vision.・Willing to make proposals for improvement for the sake of the business/service and the team.・Able to not only analyze data, but also propose and execute actions based on the analysis results with enthusiasm.・Think through issues logically and persistently, and lead the team to a solution.・Able to work in cooperation with various departments.・Willing to absorb new knowledge and technologies--------------------------------------------------【Working Time 】Flextime System(*Core-time 11:00～16:00)【 Welfare 】・Full Social Insurance・Commuting Allowance・Medical checkups・Various in-house events, etc.■Measures to prevent passive smoking・In principle, no smoking indoors (smoking rooms are available indoors)・Yotsuya Office, Minami Shinjuku Office, Osaki Office・Salary revision: Twice a year・Allowance: Transportation expenses (in accordance with company regulations), LINE Pay Card Benefit Plan(*2)(*1) In addition to the annual salary amount, incentives may be paid twice a year depending on the company's and the individual's performance and evaluation.(This is not always paid. Only employees who are enrolled at the company on the date of payment are eligible for the payment).(*2) This allowance is paid separately from salary for the purpose of "health maintenance and improvement," "self-development," and "next-generation development" of employees.【 Holiday 】2 days a week (Saturday and Sunday)Annual Paid LeaveNational HolidaysNew Year holiday, etc-------------------------------------------------------------------------