Data Scientist (Python/SQL: 6390)

Job ID 21192
Job Type
Haken
Salary
JPY 4,000 - JPY 4,400 per hour [Expected 660,000 per month]
Japanese Level
Fluent
English Level
Advanced (TOEIC 860)
Start Date
June 1, 2024
Location
Tokyo
Job Type
Haken
Salary
JPY 4,000 - JPY 4,400 per hour [Expected 660,000 per month]
Japanese Level
Fluent
English Level
Advanced (TOEIC 860)
Start Date
June 1, 2024
Location
Tokyo

Description

A Global Internet Services firm is looking for a bilingual Data Scientist to join their consulting group. The data scientist will lead the proposal, development, and implementation of AI solutions.

 

Responsibilities:
- Propose AI solutions that improve operations and sales by talking with marketing, customer support, and operations staff in the business units
- Data analysis
- Creation of models based on analysis results
- Systemization for actual operation
- Update, maintenance, and improvement of models developed in the past, and creation of mechanisms for such updates and improvements
- Providing APIs on the cloud, depending on the project

 

 

【Company Overview】

A major conglomerate serving 100 million customers in Japan and over 1 billion customers globally. Our client is a leader in e-commerce, payment, finance, telecommunications, media, and sports. 

 

【Working Hours】

9:00-17:30 (Mon-Fri)

Hybrid (basically 4 days a week in the office, 1 day a week at home)

 

【Holidays】
Saturdays, Sundays, holidays, year-end and New Year holidays, paid holidays, and other special holidays

 

【Services / Benefits】
Remote work system (4 days in the office, 1 day working from home)

Fully equipped with social insurance, transportation expenses provided, no smoking indoors (designated smoking areas), etc

Required Skills

- Python: can do data processing and model building
- SQL: Able to process large data sets and analyze them to solve problems
- Public Cloud (AWS, GCP) development experience
- Experience analyzing and developing models based on real-world data (excluding experience in research, machine learning competitions, etc.)
- Extensive knowledge of machine learning (images, natural language, table data)
- Experience developing models as a practical matter, not just research or prototypes, and incorporating them into operations
- Self-motivated and proactive