G Talent

★ Data Scientist | Featured AI Company

* Business Level Japanese REQUIRED (N2 Level)

 

◆ Listed Company

◆ Hybrid Work

◆ Global Business

◆ Great Welfare

◆ Annual Salary： 5 million ～ 12 million yen.

 

\-------------【About the company】-------------

 

"Infrastructure + LIFE + Innovation"

 

The company is a technology venture that can develop AI platforms from scratch.

The technology has been recognized by numerous domestic and international companies and is used to solve "social infrastructure" issues in a variety of fields, including plant optimization, power plant power quantity prediction, and fault detection in large-scale factories, and is expanding its business.

And, with ultra-high data analysis capabilities, the company is working to solve real social problems by creating a system that can infer the meaning of data and its background, and solve real social problems.

 

\-------------【 Job Description】-------------

 

■The Future the Company Aims to Build

The company provides AI and mathematical optimization solutions to help clients across various industrial sectors integrate cutting-edge technologies into their actual operations. Many social infrastructure sites are currently facing critical challenges, including a lack of successors, over-reliance on individual expertise, the need for cost reduction, and carbon emission targets. Grid possesses a deep empathy for these societal issues. By effectively simulating multiple scenarios and visualizing analytical insights, the company enables clients to make optimal operational decisions and achieve significant cost reductions.

\*Primary Clients: Power utilities, logistics companies, manufacturing companies, and urban developers (IoT).

 

The importance and potential of utilizing cutting-edge technology in industrial settings are growing daily, leading to a year-over-year increase in the number of projects the company takes on. To meet this demand, the company is actively scaling up its team of engineers specialized in algorithm development using machine learning and mathematical optimization.

 

■Your Role

You will lead overall operations to solve various client challenges using AI and mathematical optimization techniques.

 

Project examples include:

・Developing AI optimization solutions for power supply and demand planning

・Developing AI optimization solutions for vessel scheduling and shipping plans

・Developing time-series forecasting and anomaly detection solutions using sensor data

・Developing human mobility analysis and simulations using location data

 

Responsibilities: (Assigned areas will be discussed based on capability and preference)

・Data aggregation, cleansing, visualization, and analysis to solve client challenges

・Design and implementation of machine learning engines, along with reporting analytical results

・Implementation of simulators

・Educational initiatives to upskill internal data scientists and enhance technical capabilities

・Participation in technical discussions regarding SaaS product development

 

■Work Environment & Attractiveness

・The company's greatest strength lies in a shared aspiration among all employees to make a positive impact on society. While investing in cutting-edge technologies such as machine learning, reinforcement learning, and quantum computing, all team members consistently focus on how these technologies can be sustainably applied in real-world scenarios and infrastructure operations.

・The engineering organization brings together a diverse powerhouse of talent: numerous PhDs in physics, mathematics, and engineering; employees from heavy industries and manufacturers with deep domain knowledge; computer science experts; and seasoned professionals with 20 years of practical experience in mathematical optimization. This enables the company to deliver flexible, robust solutions tailored to the unique needs and constraints of each client.

・Employee success is heavily supported by an extensive repository of project know-how, a broad client network, and ongoing training on the latest technologies led by expert advisors.

・A highly flexible work style is empowered by full-flex and full-remote systems, combined with a casual, open communication culture that allows individuals to operate with high autonomy and freedom.

 

\-------------【 Requirements】-------------

 

Required

\*Meet of the following:

・Experience in analysis using AI, such as machine learning and reinforcement learning (duration not specified; experience with at least two projects)

・Knowledge and experience with mathematical optimization algorithms (preference given to candidates with practical experience)

・Experience in creating simulators and studying AI

 

Preferred

・Proven track record in data science competitions such as Kaggle

・For foreign nationals, Japanese language proficiency at the N2 level or higher

・Software engineering skills

・Development experience in cloud environments such as AWS

 

Ideal Applicants

・Strong desire to solve challenges in the social infrastructure industry through the power of IT.

・Ability to take proactive ownership of problem-solving initiatives.

・Ambitious mindset eager to take on new challenges across a broad range of domains.

・Respectful attitude that can genuinely appreciate the support of team members and peers.

 

\--------------------------------------------------

 

【Working Hour】

Flextime System

 

【Holidays】

More than 120 days/year

2 days off per week (Sat. and Sun.)

National holidays, New Year holidays (12/29 - 1/3), etc.

Paid leave and special leave (summer vacation (3 days), congratulation or condolence leave, etc.)

 

【Welfare】

Health insurance, employee pension, unemployment insurance, and worker's accident compensation insurance are provided.

Subsidy for purchasing technical books: The company purchases books that are not available at the company and that help everyone improve their skills

In-house sports competitions (mountain climbing, fishing, etc.) and engineering camps (hands-on, etc.) (free participation)

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Data

Machine Learning

Infrastructure

Analysis

Project management

Operations

Algorithm

Amazon

Data Science

Software Development

Data analytics

Cloud

Innovation

SaaS

Mathematics

Logistics

Manufacturing

Forecasting

Support

Network

Communications

Reinforcement Learning

Data Cleansing

Data Visualization

Simulation

Time Series Forecasting

Anomaly Detection

SaaS design

Technical Architecture

Education

Project development

⭐Data Scientist / AI & Optimization Solution Provider⭐Hybrid (Full Flex & Remote OK) / N2+ Business Japanese / ML, Reinforcement Learning, or Optimization Experience