Top-Selling Points

Rate of Foreigners

Less Than

Frequency of English Usage

Less Than

Top-Selling Points

Rate of Foreigners
Less Than

Frequency of English Usage
Less Than

Related Skills

Experienced area / job

Big Data Deep Learning Machine Learning

Library/Framework

NumPy Pandas

Programming Language

Python

Data analysis / Machine learning

Tensorflow

Management/System project Experience

Others

Language Requirements

Required

Preferred

Language Requirements

Required

Japanese: Business

English: Business

Preferred

No Data

Job Description

The Group R&D Division provides technical support, development, and analysis for startups and cross-group projects that the company is focusing on in its business areas, and supports business success. The AI R&D Office is included in this group, and provides support related to data analysis and AI. They are also constantly researching and developing the latest technologies, and are quick to introduce them into the business, leading to results.
You will be involved in projects such as fintech, or financial quantitative trading and crypto asset trading. You can also get involved in other projects depending on your skills and motivation.

◆Fintech (Fintech) Projects
Understanding the nature of the financial services offered by thet Group, and using data science techniques such as mathematical modeling and machine learning to successfully handle difficult-to-predict financial data and improve profitability.

◆Adtech (Adtech) projects
In RTB (Real Time Bidding), one of the main mechanisms of Internet advertising, we mainly design and develop machine learning models for DSP (Demand-Side Platform), which optimizes cost-effectiveness for advertisers, and measure its effectiveness.

◆App projects
Measuring the effectiveness of new features and measures for apps that facilitate free WiFi access, using causal inference techniques to improve the KPI of the service by setting up a system for data-driven management decision making.

◆Other projects
Support the application of data analysis and machine learning techniques with respect to crypto asset trading, fraud detection, etc.

【R&D work】
・While working on the project, all members spend a certain amount of time researching cutting-edge machine learning methods and new machine learning applications.
・In addition, a member of the team is appointed on a quarterly basis to focus on research and development.

【Attractiveness of this position】
You will have the opportunity to launch projects from scratch to solve various issues through data analysis and AI technologies for the company group's diverse services.
You can directly handle a wide range of data, including the world's largest financial data and ad tech data of several hundred terabytes in size, and learn big data analysis technologies (BigQuery, PySpark, etc.)
You can analyze various types of data such as time-series data, user behavior data, articles, etc.
You can learn about the business in your area of responsibility, such as fintech and ad tech, and keep up to date with cutting-edge machine learning, deep learning, statistical methods, and so on.
Develop three key skills (business problem solving, data science, and engineering), and significantly expand one or more of your strengths
You will have many opportunities to interact with data scientists from other departments who are in charge of different projects through study sessions and other opportunities to improve your data science skills.
You will often work together with members of the Next Generation System Laboratory, an elite group of engineers under the Group's Research and Development Division, and you will be able to develop your engineering skills.
As a department under the direct control of the Group CTO, the selection of technologies is left to the site, allowing you to verify and introduce cutting-edge technologies on your own.
Since all services are in-house, you will be able to work with the business units to set issues, think of solutions, and implement improvement cycles based on data science.
Depending on your performance and motivation, you can take on the challenge of freely conducting research and development on the team's key themes.
The team is diverse, consisting of PhDs who have worked in the academic field, engineers, etc.

【Technology used】
■Analysis Methods
Machine learning:
Transformer systems (large-scale language models, etc.), graph neural networks (GNN), multilayer perceptron (MLP), ensemble learning/gradient boosting (Gradient Boost Tree + LR, Random Forest, ExtraTree , Ada Boost XGBoost, LightGBM), PCA, FP-Growth, Word2Vec, Doc2Vec, collaborative filtering, Bayesian estimation, HMM models (hidden Markov models)
Statistical Analysis:
t-test, Chi-square test, F-test, binomial test, Kolmogorov-Smirnov test, Shapiro-Wilk test, sampling (MCMC, bootstrap method, etc.), analysis of variance, causal inference (difference in differences method)

■Development Techniques/Environment
Programming/Frameworks
Python, PyData (numpy, scipy, pandas, etc.), Streamlit
PyTorch, TensorFlow, LangChain, Spark (PySpark)
Cloud/on-premise (middleware)
Google Cloud (GCS, BigQuery, VertexAI, Dataflow, etc.)
AWS (S3, Athena, EMR/Serverless, StepFunction, SageMaker, Bedrock, etc.)
MySQL, MariaDB, Percona Server, PostgreSQL, Galera Cluster, Oracle, Hive, Hadoop/HDFS
ConoHa (GPU server)
Large-scale language model (LLM) related
OpenAI API, Llama3, LangChain, HuggingFace

■Development tools
Atlassian (Jira, Confluence), Trello
VS Code, PyCharm, Jupyter
GitHub (Copilot)
Tableau, Looker Studio, metabase
ChatGPT, Gemini, Claude

■Development Methodology
Agile development (scrum-based)

Required Skills and Experiences

【Required】 Meet all of the following ・Experience in using machine learning/deep learning in actual products or research to achieve results ・Knowledge and skills in information systems, with a full range of skills (statistical analysis, machine learning, etc.) required by data scientists, or with one specialized strength ・Able to write Python 【Preferred】・Ph.D. degree. ・Experience in consultancy or business sector ・Experience in financial transactions 【Ideal Applicants】・Likes to consider all approaches to solving business problems and finding the best way to do it, rather than just using a method. ・Interested in anything, passionate about new technologies and new business challenges. ・Particularly interested in fintech, quantitative trading and crypto assets ・Able to work as a team to achieve big results that you can't do alone ・Critical thinking, not just relying on data and results

After sign up, you can browse all information.

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Working Condition

Defined contribution pension plan
Full social insurance (health insurance, welfare pension, defined benefit pension plan, unemployment insurance, workers' accident compensation insurance)
Employee Stock Ownership Plan
Welfare subsidy system (subsidies for sports clubs, English conversation, etc.)
Contracted recreational facilities
Commuting allowance (within tax exempt limit)
Car commuting system (only for Fukuoka work)
Condolence and sympathy payment
Childcare/nursing care leave and shortened working hours
Event subsidy system　
System to receive a part of salary in bitcoin
Excellent welfare facilities
　(24-hour free in-house cafe, massage room, nap space, day care center)
Enriched engineer support system

RECRUITMENT PROCESS

Step 1: Entry / Application
Step 2: Document Screening
Step 3: First Interview with Department Representatives
Step 4: Technical Assessment / Coding Test
Step 5: Final Interview with Executives
Step 6: Job Offer

Business (description what they do)

Recruiting business specializing in job change support for foreign IT personnel

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Top-Selling Points

Rate of Foreigners

Less Than

Frequency of English Usage

Less Than

Top-Selling Points

Rate of Foreigners
Less Than

Frequency of English Usage
Less Than

Related Skills

Experienced area / job

Big Data Deep Learning Machine Learning

Library/Framework

NumPy Pandas

Programming Language

Python

Data analysis / Machine learning

Tensorflow

Management/System project Experience

Others

Language Requirements

Required

Preferred

Language Requirements

Required

Japanese: Business

English: Business

Preferred

No Data

Job Description

The Group R&D Division provides technical support, development, and analysis for startups and cross-group projects that the company is focusing on in its business areas, and supports business success. The AI R&D Office is included in this group, and provides support related to data analysis and AI. They are also constantly researching and developing the latest technologies, and are quick to introduce them into the business, leading to results.
You will be involved in projects such as fintech, or financial quantitative trading and crypto asset trading. You can also get involved in other projects depending on your skills and motivation.

◆Fintech (Fintech) Projects
Understanding the nature of the financial services offered by thet Group, and using data science techniques such as mathematical modeling and machine learning to successfully handle difficult-to-predict financial data and improve profitability.

◆Adtech (Adtech) projects
In RTB (Real Time Bidding), one of the main mechanisms of Internet advertising, we mainly design and develop machine learning models for DSP (Demand-Side Platform), which optimizes cost-effectiveness for advertisers, and measure its effectiveness.

◆App projects
Measuring the effectiveness of new features and measures for apps that facilitate free WiFi access, using causal inference techniques to improve the KPI of the service by setting up a system for data-driven management decision making.

◆Other projects
Support the application of data analysis and machine learning techniques with respect to crypto asset trading, fraud detection, etc.

【R&D work】
・While working on the project, all members spend a certain amount of time researching cutting-edge machine learning methods and new machine learning applications.
・In addition, a member of the team is appointed on a quarterly basis to focus on research and development.

【Attractiveness of this position】
You will have the opportunity to launch projects from scratch to solve various issues through data analysis and AI technologies for the company group's diverse services.
You can directly handle a wide range of data, including the world's largest financial data and ad tech data of several hundred terabytes in size, and learn big data analysis technologies (BigQuery, PySpark, etc.)
You can analyze various types of data such as time-series data, user behavior data, articles, etc.
You can learn about the business in your area of responsibility, such as fintech and ad tech, and keep up to date with cutting-edge machine learning, deep learning, statistical methods, and so on.
Develop three key skills (business problem solving, data science, and engineering), and significantly expand one or more of your strengths
You will have many opportunities to interact with data scientists from other departments who are in charge of different projects through study sessions and other opportunities to improve your data science skills.
You will often work together with members of the Next Generation System Laboratory, an elite group of engineers under the Group's Research and Development Division, and you will be able to develop your engineering skills.
As a department under the direct control of the Group CTO, the selection of technologies is left to the site, allowing you to verify and introduce cutting-edge technologies on your own.
Since all services are in-house, you will be able to work with the business units to set issues, think of solutions, and implement improvement cycles based on data science.
Depending on your performance and motivation, you can take on the challenge of freely conducting research and development on the team's key themes.
The team is diverse, consisting of PhDs who have worked in the academic field, engineers, etc.

【Technology used】
■Analysis Methods
Machine learning:
Transformer systems (large-scale language models, etc.), graph neural networks (GNN), multilayer perceptron (MLP), ensemble learning/gradient boosting (Gradient Boost Tree + LR, Random Forest, ExtraTree , Ada Boost XGBoost, LightGBM), PCA, FP-Growth, Word2Vec, Doc2Vec, collaborative filtering, Bayesian estimation, HMM models (hidden Markov models)
Statistical Analysis:
t-test, Chi-square test, F-test, binomial test, Kolmogorov-Smirnov test, Shapiro-Wilk test, sampling (MCMC, bootstrap method, etc.), analysis of variance, causal inference (difference in differences method)

■Development Techniques/Environment
Programming/Frameworks
Python, PyData (numpy, scipy, pandas, etc.), Streamlit
PyTorch, TensorFlow, LangChain, Spark (PySpark)
Cloud/on-premise (middleware)
Google Cloud (GCS, BigQuery, VertexAI, Dataflow, etc.)
AWS (S3, Athena, EMR/Serverless, StepFunction, SageMaker, Bedrock, etc.)
MySQL, MariaDB, Percona Server, PostgreSQL, Galera Cluster, Oracle, Hive, Hadoop/HDFS
ConoHa (GPU server)
Large-scale language model (LLM) related
OpenAI API, Llama3, LangChain, HuggingFace

■Development tools
Atlassian (Jira, Confluence), Trello
VS Code, PyCharm, Jupyter
GitHub (Copilot)
Tableau, Looker Studio, metabase
ChatGPT, Gemini, Claude

■Development Methodology
Agile development (scrum-based)

Required Skills and Experiences

After sign up, you can browse all information.

If you already have a GitTap Account, please login.

Working Condition

Defined contribution pension plan
Full social insurance (health insurance, welfare pension, defined benefit pension plan, unemployment insurance, workers' accident compensation insurance)
Employee Stock Ownership Plan
Welfare subsidy system (subsidies for sports clubs, English conversation, etc.)
Contracted recreational facilities
Commuting allowance (within tax exempt limit)
Car commuting system (only for Fukuoka work)
Condolence and sympathy payment
Childcare/nursing care leave and shortened working hours
Event subsidy system　
System to receive a part of salary in bitcoin
Excellent welfare facilities
　(24-hour free in-house cafe, massage room, nap space, day care center)
Enriched engineer support system

RECRUITMENT PROCESS

Step 1: Entry / Application
Step 2: Document Screening
Step 3: First Interview with Department Representatives
Step 4: Technical Assessment / Coding Test
Step 5: Final Interview with Executives
Step 6: Job Offer

Business (description what they do)

Recruiting business specializing in job change support for foreign IT personnel

Available Jobs in (G Talent)

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