【200 billion yen funding/4 salary increases per year】Data Scientist at Forbes & SaaS Award winning company! New product kpiee development 03003-3
| Expected annual salary | ・Salary increase and promotion opportunities 4 times a year・Performance-linked special salary paid 4 times a year・Housing allowance: Housing allowance paid to employees within company regulations (30,000-60,000 yen)・Corporate housing system: System to reduce tax burden and increase take-home pay by company renting properties as company housing・Employee stock ownership: System allowing employees to invest part of monthly salary in stock ownership・Client product/service usage subsidy: System where company covers part of payment when purchasing client products/services・Gym: Free access to in-house training gym with free personal trainer courses・Learning environment: Self-study rooms and learning content related to data/systems/marketing to ensure success through effort |
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| Planned work location | Nishi-Shinjuku, Shinjuku-ku, Tokyo |
Recruitment details
Job description
This is a role where you will design and build an environment that can efficiently and accurately implement the process from data reception to aggregation of various data such as P&L, business KPIs, and organizational KPIs received from clients, utilizing tools such as Access and Google App Script.
■Work Environment
As a data technology company developing business with 'data' as the keyword, we provide comprehensive support for career advancement as a data scientist through our learning environment including self-study rooms and learning content related to data/systems/marketing.
You will experience various projects in an environment where you can easily plan your career path as a data scientist.
Required experience and skills
・Experience in building calculation processes using functions in spreadsheet software such as Excel or Google Spreadsheet
■Preferred Skills
・Experience in automating data acquisition and aggregation tasks from external tools (SaaS or package systems) using tools such as Google App Script and Access
・Experience in IT system development or implementation projects
■Personal/Orientation Requirements
・Human qualities (sincere and serious)
・Whether you find fulfillment and satisfaction in achieving a single goal as a team
・Growth motivation (desire to spend time on self-investment to improve work results and career market value)
■Language Requirements
・JLPT N1 preferred, but N2 or above acceptable
・Able to communicate clearly and effectively
・Smooth written communication (as we frequently use chat tools like Slack for work)
■Recruitment Targets
・2026 graduates, new/recent graduates accepted
・Overseas residents can apply
・Those with full-time work experience not eligible (those with only internship, part-time, or temporary work experience are eligible)
・Age limit: up to 29 years old
Department/Assignment information
| Recruiting job type |
Data Scientist |
|---|---|
| Educational background & qualifications |
2026 graduates, new/recent graduates accepted, overseas residents can apply, those with full-time work experience not eligible (those with only internship, part-time, or temporary work experience are eligible), age limit: up to 29 years old, JLPT N1 preferred but N2 or above acceptable |
| Employment type |
Full-time Employee |
| Wage type |
Remarks
Salary increase and promotion opportunities 4 times a year, performance-linked special salary paid 4 times a year |
| Probation period |
3-month probation period |
| Work location |
Nishi-Shinjuku, Shinjuku-ku, Tokyo |
| Working hours |
Fixed working hours: 9:00-18:00 (monthly salary includes 45 hours of deemed overtime), maximum overtime until 20:00 (PC usage only 8:50-20:00 / taking PC home generally prohibited), weekend work generally prohibited, overtime after 20:00 on weekdays requires full application |
| Holidays & other policies |
Weekends and holidays, year-end and New Year holidays, annual paid leave (targeting 100% paid leave usage), quarter pit-in (mandatory paid leave on quarter-end days), special leave: summer vacation/congratulatory and condolence leave/maternity and childcare leave, etc. |
| Selection process |
Document screening → Multiple individual interviews → Job offer |
Company Information
| Company Information | Non-public |
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