Data Scientist, Data Analyst Jobs | Engineering Jobs in Japan

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Data Scientist, Data Analyst 1More

7M JPY - ***M JPY

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Tokyo

Full-time (permanent)

Online Interview: Yes

Remote Work from Overseas: No / Remote Work in Japan: Yes

Top-Selling Points

Rate of Foreigners

Less Than

Frequency of English Usage

Less Than

Flex-time International employees In-house product development Modern tech stack Japanese learning support

Related Skills

Experienced area / job

Machine Learning Deep Learning Natural Language Processing

Programming Language

Python

Cloud / Infrastructure / DevOps tools

AWS

Language Requirements

Required

Preferred

Job Description

[Business Overview]
We are a Tokyo Stock Exchange-listed technology company automating and optimizing complex planning in social infrastructure. Using a proprietary platform and cutting-edge AI like reinforcement learning and mathematical optimization, we solve large-scale decision-making challenges difficult for humans. We drive numerous collaborative projects with major infrastructure enterprises, supporting infrastructure digitalization through social implementation of advanced technology.


[About the Fields We Address]
1．Generative AI as an "Intellectual Assistant," Mathematical Optimization as a "Rigorous Decision-Making Technology"
Generative AI automates human thinking based on probability and statistics. In contrast, mathematical optimization uses deterministic mathematics to rigorously guide real-world decision-making where errors are not permitted. Experts in deterministic mathematics are relatively scarce, limited to numerical analysis and specific engineering fields, requiring high theoretical rigor and modeling capabilities. By directly improving core decision-making, this field generates immense economic value.

2．Economic Effects of Hundreds of Millions of Yen from a Single Optimization
Our target is social infrastructure. By using mathematical optimization AI for complex planning tasks involving too many factors for humans to handle, we convert major capital investments, fuel costs, and maintenance costs into economic benefits on the scale of hundreds of millions of yen.


[Recruitment Background]
To realize business transformation for our clients through AI, we handle everything from consulting to application development in-house. Currently, due to rapid business expansion, we are seeking new members who can play a core role in our system development department and drive the strengthening of our organizational structure.


[Job Overview]
In this position, you will lead the design and implementation as a core member of the application development team. Beyond simple system development, you will be deeply involved in AI algorithm implementation and data analysis processes, allowing you to build a highly rare skill set as an "Application Engineer × AI Specialist."


[Key Responsibilities]
・Requirement definition and technology selection: Interviewing and organizing functional requirements based on client business challenges, and considering the optimal technology stack
・System design: Database (logical and physical design) and API/endpoint design
・Development and quality control: Efficient application implementation based on design, and quality assurance including automated testing
・Project management: Management of development progress, identification and resolution of technical issues, and control of team delivery quality
・Product development: Requirement consideration and development of new feature sets for our in-house product (ReNom Apps)

＜Project Examples (Social Infrastructure and Large-Scale Optimization)＞
・Automated operation planning system for large cargo vessels (for major oil manufacturers and major shipping companies)
・Power generation planning optimization system (for major electric power companies)
・Expressway traffic congestion prediction system (for major expressway management companies)
・Demand forecasting and automated production planning system for the manufacturing industry (for major manufacturers)
・Planning, design, and development of the in-house SaaS platform "ReNom Apps"


[Development Environment]
・Languages: TypeScript (Framework: React), Python, SQL
・IDE: Microsoft VS Code (+ Cursor)
・Infrastructure: AWS (mainly ECS/ECR, EC2, RDS (MySQL or PostgreSQL))


[Impact and Achievements of Global Employees]
・Approximately 10% of the company consisting of foreign nationals.
・Diverse nationalities, including the United States, Taiwan, and Bangladesh, actively performing.
・Active performance in management positions, regardless of nationality.


[Workplace Language]
・Language for business operations: Japanese (internal meetings and announcements are conducted in Japanese).
・Interaction between members: English or common languages used during casual chats among members.

Required Skills and Experiences

[Mandatory Requirements] ・Practical experience in web development (roughly 5+ years: understanding the workflow from design to operation) ・Understanding of development and operation in cloud environments such as AWS ・Practice of team development using Git, etc. (standard workflows such as code reviews) ・Communication skills to cooperate with other roles (PM, DS, etc.) and advance development smoothly [Preferred Requirements] ・Experience involved in team leadership or project progress management ・Task adjustment according to member situations and stabilization of delivery ・Experience supporting team consensus building in technology selection and specification review ・Skills in coordination with clients and stakeholders, and proposals from a technical perspective ・Efforts toward quality improvement of the entire team through reviews, etc. [Leveragable Experiences] ・Experience in development workflow management ・Experience in engineer team management and development ・Experience in coordination during requirement definition with clients

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Working Condition

[Employment Type]
Permanent employee  Probation period: 6 months

[Expected Annual Salary] *Subject to adjustment based on experience, skills, and capabilities.
Annual Salary: 7,000,000 JPY to 13,000,000 JPY
・Theoretical Annual Salary = Monthly fixed salary (Base salary + Special work allowance) x 12 months + Bonus
・Special work allowance: Overtime premium allowance for 42 hours of overtime
・Bonus: Standard payment of 1 month of base salary, with the actual amount determined based on performance and evaluation, paid twice a year (February and August)

*Actual overtime hours average 10–20 hours across the company; while it becomes busy prior to delivery, there is a clear work-life balance.

[Work Location]
4F Aoyama Palacio Tower, 3-6-7 Kita-Aoyama, Minato-ku, Tokyo, 107-0061
No immediate relocation expected

[Working Hours]
Flextime system (No core time)
*Applicable during the probation period

[Benefits and Welfare]
Health insurance / Welfare pension / Employment insurance / Workers’ compensation insurance

[Holidays and Leave]
・120 days or more / Year
・Complete 2 days off per week (Saturday and Sunday)
・Public holidays, Year-end and New Year holidays (December 29 to January 3)
・Annual paid leave
・Special leave (3 days of refresh leave, pre- and post-natal leave, childcare leave, nursing care leave, and others)
・FY2024 Childcare Leave Utilization (Men: 71%, Women: 100%)

[Internal Systems] *Applied according to employee preferences and characteristics.
■ Hybrid Workstyle　*Remote work is available only within Japan.
Flexible choice between office and remote work to maximize individual performance.
■ Cutting-Edge LLM and AI Utilization Support
‐All employees: Gemini, NotebookLM, etc., available under the standard plan for company-wide efficiency.
‐Engineers: Business licenses for latest AI agent tools, freely selecting from Cursor, Claude Code, Codex, Devin, etc. (multiple allowed, changeable monthly).
■ Skill-Up and Self-Development Support
Technical book purchase subsidy for books contributing to team skills.
■ AI Catch-Up Program
No prior AI knowledge required at joining; practical assignments to acquire necessary AI technologies.
■ Internal Communication and Interaction
Communication with speed, centered around Slack.
■ Internal Events (Voluntary)
Regular internal sports tournaments (futsal, mountain climbing, fishing, etc.) and engineering retreats for technical refinement.

RECRUITMENT PROCESS

Document Screening > First Interview > Technical Assignment > Final Interview > Job Offer
*Applicants who have a GitHub account or similar are requested to submit it.

Aoyama Palacio Tower 4F, 3-6-7 Kita-Aoyama, Minato-ku, Tokyo

https://gridpredict.jp/

Public

101 - 300 employees

Capital 54,324,700円

Sogabe Masaru

Since Oct 2009

Business (description what they do)

・Development, sales, consulting, maintenance, and operation support of systems utilizing artificial intelligence ・Development, sales, consulting, maintenance, and operation support of applications and computer systems ・System development, manufacturing, sales, consulting, maintenance, and operation support of urban infrastructure solutions ・Application service provider business utilizing the internet ・Management and consulting services for facilities and business operations ・Design, development, manufacturing, sales, and consulting of materials ・Development, sales, consulting, maintenance, and operation support of power control systems, as well as development, ownership, maintenance, operation management, transfer, power retail, supply, trading, management, demand-supply adjustment, demand response, and resource aggregation business for power plants and energy storage stations ・Trading, agency, and brokerage services for products and raw materials ・All operations incidental and related to each of the preceding items

INFRASTRUCTURE + LIFE + INNOVATION

Our corporate philosophy is “INFRASTRUCTURE + LIFE + INNOVATION”. Infrastructure is necessary to maintain a stable life of people. With the aim to offer innovative solutions to society, we provide computer systems, our own AI products, and SaaS that help clients optimize their systems in infrastructure sectors such as electric power/energy, logistics, and supply chains by using mathematical optimization and deep reinforcement learning. By implementing advanced technologies to the infrastructure sector, we strive to solve social problems.

Developing a deep learning framework and advanced algorithms

We have a strong expertise in technologies that combine mathematical optimization and deep reinforcement learning. We develop and utilize algorithms that derive optimal decisions through simulations in virtual spaces for large-scale and complicated planning tasks. Currently, we are developing and expanding our own AI product "GeNom for Energy," specialized for the energy sector, as well as "Industry SaaS" for various industries, striving to automate planning and operational tasks in the infrastructure sector.

Work with highly skilled engineers from around the world

Since diversity is a key driver of innovation, we are actively hiring international engineers. Currently, international employees make up about 10% of our total workforce. Many of them are in administrative positions. At GRID INC., all employees are given opportunities to succeed regardless of their backgrounds. To support our flexible working environment, we have introduced flextime and remote work. Study sessions and training camps for engineers are provided as well to create opportunities for improving skills as a team.

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