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

Programming Language

Python SQL

Language Requirements

Required

Preferred

Language Requirements

Required

Japanese: Business

English: Greetings/None

Preferred

No Data

Job Description

As a data scientist supporting our dispatch application and business, you will be responsible for defining requirements, formulating specifications, data analysis, data preprocessing, AI service implementation, accuracy improvement, and other tasks related to building machine learning models and algorithms for cab demand sharing forecasting, dangerous driving behavior detection, and other applications of predictive models to actual services. You will be involved in a wide range of tasks required to apply predictive models to real-world services. We are looking for someone who can solve various problems with light footwork.

The job description
Define requirements and design forecasting models and algorithms by communicating with business units and customers.
Develop and improve the accuracy of forecasting models/algorithms based on a variety of data sources, with a focus on machine learning.
Implementation of predictive models/algorithms into actual services, and their continuous improvement and monitoring.

Development environment
Programming language: Python
Libraries: pandas, scikit-learn, LightGBM, TensorFlow, PyTorch
Database: BigQuery, Aurora (MySQL)
Visualization: Redash, Kepler.gl, Plotly

Organization
Algorithm Group: 8 members
The Algorithm Group is responsible for discovering issues and considering measures in collaboration with the business unit, PdM, engineers, and other staff members, and promoting the addition and improvement of necessary functions in the actual service.

Data Science Group: 7 members
This group is in charge of building and operating a prediction model to detect dangerous driving behavior for the AI Dora Recorder service. We place the utmost importance on the practical application of machine learning to our services, and we are building and improving predictive models by facing the data.

We expect to be assigned to one of the two positions.

Required Skills and Experiences

【Required】・Experience in data analysis using Python (other languages negotiable) ・Working experience in data processing, data analysis, and data visualization ・Practical experience using machine learning ・Experience using databases with SQL ・Experience in team development using source code management systems such as Github ・Knowledge of statistics, mathematics, and computer science at the college level 【Preferred】・Experience in continuously applying predictive models using machine learning/rule-based logic in real services ・Experience in building predictive models using scikit-learn, various gradient boosting libraries, various Deep Learning frameworks, etc. ・Experience in implementing mathematical optimization, search algorithms, reinforcement learning, etc. for practical systems ・Experience in working with large-scale data ・Experience winning medals in Kaggle and other analysis competitions ・Experience developing machine learning systems using AWS, GCP, and other cloud computing platforms ・Experience in building predictive models using Linux environment ・Management experience in development projects 【Ideal Applicants】・Able to work independently while communicating closely with members from various areas inside and outside the company ・Interested in machine learning applications and problem solving in real services ・Able to think, act, and promote autonomously to improve services. ・Empathy for the evolution of the mobility field and its contribution to society, and the ability to commit to the service itself, not just the technology. ・Able to acquire new skills on their own as needed, without being obsessed with a specific technology. ・Able to communicate with others in a respectful manner in team development

After sign up, you can browse all information.

If you already have a GitTap Account, please login.

Working Condition

【Holidays】
・Saturdays, Sundays and National Holidays
・Paid leave (up to 10 days in the first year, depending on the month of employment * Granted on the date of employment)
・New Year vacations
・Celebration and condolence leave
・Nursing care leave (5 days per year per family member in need of nursing care)

【Welfare】
・Full social insurance
・Trial cab system (10,000 yen/month): Company pays for a ride to get to know the cab
・New Normal Allowance (10,000 yen/month)
・Welcome Lunch
・Subsidy for book purchases
・Participation in technical conferences (in Japan and abroad)
・Club activity system
・No dress code

RECRUITMENT PROCESS

Document Screening
↓Direction
Initial interview
↓ Final interview
Final interview
↓Final interview
Offer of employment

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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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

Programming Language

Python SQL

Language Requirements

Required

Preferred

Language Requirements

Required

Japanese: Business

English: Greetings/None

Preferred

No Data

Job Description

As a data scientist supporting our dispatch application and business, you will be responsible for defining requirements, formulating specifications, data analysis, data preprocessing, AI service implementation, accuracy improvement, and other tasks related to building machine learning models and algorithms for cab demand sharing forecasting, dangerous driving behavior detection, and other applications of predictive models to actual services. You will be involved in a wide range of tasks required to apply predictive models to real-world services. We are looking for someone who can solve various problems with light footwork.

The job description
Define requirements and design forecasting models and algorithms by communicating with business units and customers.
Develop and improve the accuracy of forecasting models/algorithms based on a variety of data sources, with a focus on machine learning.
Implementation of predictive models/algorithms into actual services, and their continuous improvement and monitoring.

Development environment
Programming language: Python
Libraries: pandas, scikit-learn, LightGBM, TensorFlow, PyTorch
Database: BigQuery, Aurora (MySQL)
Visualization: Redash, Kepler.gl, Plotly

Organization
Algorithm Group: 8 members
The Algorithm Group is responsible for discovering issues and considering measures in collaboration with the business unit, PdM, engineers, and other staff members, and promoting the addition and improvement of necessary functions in the actual service.

Data Science Group: 7 members
This group is in charge of building and operating a prediction model to detect dangerous driving behavior for the AI Dora Recorder service. We place the utmost importance on the practical application of machine learning to our services, and we are building and improving predictive models by facing the data.

We expect to be assigned to one of the two positions.

Required Skills and Experiences

After sign up, you can browse all information.

If you already have a GitTap Account, please login.

Working Condition

【Holidays】
・Saturdays, Sundays and National Holidays
・Paid leave (up to 10 days in the first year, depending on the month of employment * Granted on the date of employment)
・New Year vacations
・Celebration and condolence leave
・Nursing care leave (5 days per year per family member in need of nursing care)

【Welfare】
・Full social insurance
・Trial cab system (10,000 yen/month): Company pays for a ride to get to know the cab
・New Normal Allowance (10,000 yen/month)
・Welcome Lunch
・Subsidy for book purchases
・Participation in technical conferences (in Japan and abroad)
・Club activity system
・No dress code

RECRUITMENT PROCESS

Document Screening
↓Direction
Initial interview
↓ Final interview
Final interview
↓Final interview
Offer of employment

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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