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2019/08/27 Update

PM (Data scientist) (Job ID: 11196)

Work location
Tokyo
Job type
IT engineers
Employment type
Regular employee
Salary
Annual: 5.0M~8.0M yen

  • Overseas applicants allowed
  • Visa support
  • NO Japanese required
Must
1. Japanese N2 or English Business
2. Expertise on statistics · machine learning · deep learning · experience in data analysis
3. Experience using tools such as spark, H2O, Flink, Hadoop
4. Development language · · · R, Python, Scala, C, JAVA are prefered
5. Project management experience

Job Detail

Language requirements: Japanese Basic level (N4)
Language requirements: English Business level
Career level Experienced (Non-manager)
Company name GROUND株式会社
Job description 【Job Content】
Currently we are developing DyAS (Dynamic Allocation System), a logistics cash flow improvement software. The data scientist team is to support this development. We are looking for a member of this team.
Main content is to analyze the vast amount of data handled at the logistics site, find useful logic, model it to realize optimal logistics operation.
It doesn’t matter whether you have the background as a data scientist. We are looking for people who want to contribute to building new logic in the field of logistics.
1. Requirement definition · Project management
-Organization of data, algorithms, analytical foundation technologies, etc. necessary for developing Intelligent Logistics products
- Able to understand the challenges faced by collaborative partners and can modify appropriate approaches and make new proposals (cost-effectiveness analysis)
2. Data Analysis
- Data processing / analysis work which contains combining OSS tools with mass data covering marketing, sales, transportation and in-house work according to the requirement definition
- Understanding of Pro / Con of various analysis methods and able to explain to customers and co-workers
3. Algorithm development and investigation
- Construction of the next generation physical distribution infrastructure using statistical and machine learning methods
- Participation in domestic and overseas conferences such as KDD, GTC, Deep Learning Summit, and utilization of various networks owned by the company and oneself to investigate the latest technology circumstances and obtain information on technologies that can be expected to be commercialized

【Organization】 Overall: 20 people, Foreigners: 5 people, Average age: 40 years old
Internal language: Japanese, English

【Work place】 Koto-ku, Tokyo

【Employment form】 Full-time employee (trial period 3 months)

【Working hours】 Flextime system (without core time)

【Salary】 5.0M~8.0M yen

【Welfare · Benefits】 transportation expense, various social insurance. If you joined the company from overseas, up to 500,000 yen welfare is provided

【Holiday vacation】 Saturday, Sunday, public holidays, Summer holidays, New Year holidays (127 days/year), annual paid leave, congratulations and condolences vacation.

【Number of interviews】2 times
Requirements 【Requirement】
1. Japanese N2 or English Business
2. Expertise on statistics · machine learning · deep learning · experience in data analysis
3. Experience using tools such as spark, H2O, Flink, Hadoop
4. Development language · · · R, Python, Scala, C, JAVA are prefered
5. Project management experience

【Good to have skills / experience】
1 Hardware setting and tuning experience
2 Experience as a data scientist at Web-based operating companies (SNS, games etc.)
3 Experience as a data scientist at SIer
4 Experience as a data scientist at the manufacturer and manufacturer's basic research laboratory
5 Experience as a data scientist at the research company

【Personality to ask for】
1. Zero-base thinking / Critical thinking
2. Open Minded / Open Communication
3. Attitude to voluntarily discover / solve problems
4. Flexible response to changes · Adaptability
5. Have a strong challenging spirit to tackle new fields and have a spirit of inquiry
6. Understand members with different cultural backgrounds and can take the leadership

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