■Resume and work history written in Japanese are required (There is a possibility that your application will not be processed if you only have English documents).
■We are a recruitment agency conducting this recruitment on behalf of the companies seeking employees.
■ Japanese N1 level required
■Required:
- 5+ years of work experience as a data scientist
(1) Experience in modeling such as statistics/machine learning
(2) Business reporting experience using analysis results
- Skills in organizing/solving business issues using data
- Systematic knowledge of data science (statistics, machine learning, AI, etc.)
- Skills to process data using Python, R, SAS, etc., and aggregate/analyze data
- Communication skills to convey highly specialized knowledge to stakeholders in an easy-to-understand manner


Employment type
Full-time employee (unlimited contract)

Job description
- Active IT investment in the latest technology / Remote work possible / Work-life balance ◎

■Mission
- Improve business performance by utilizing advanced specialized skills and knowledge of data analysis and analytics
- Focus on results, and work with the business department to identify and resolve business issues using various data

■Scope of responsibilities
- Utilize data science knowledge to contribute to improving business value in various aspects
- Implement a wide range of data analytics projects within the company
- Propose issues that need to be resolved from a data perspective to related stakeholders such as CDO and business departments, and provide opportunities to create new value
- Improve internal awareness and presence of data science capabilities as a data analytics evangelist
- Raise the level of capabilities within the company by holding training and study sessions
- Understand the latest analytics trends and identify opportunities to apply them and contribute to creating new value.

Application requirements
- 5+ years of work experience as a data scientist
(1) Experience in modeling such as statistics/machine learning
(2) Business reporting experience using analysis results
- Skills in organizing/solving business issues using data
- Systematic knowledge of data science (statistics, machine learning, AI, etc.)
- Skills to process data using Python, R, SAS, etc., and aggregate/analyze data
- Communication skills to convey highly specialized knowledge to stakeholders in an easy-to-understand manner

Required years of experience (job type)
- 5+ years
IT engineer [system development, SE, infrastructure] / Data scientist, data mining engineer
*Experience in this job is required to apply

Application category
Mid-career

Salary
Monthly salary 340,000 yen to 410,000 yen
Annual salary 7,910,000 yen to 9,820,000 yen

Salary details

Yes


Yes


*The above estimated annual salary includes bonuses (three times a year) and overtime pay.

The salary is only a guideline and may go up or down through the selection process.
Monthly salary (monthly amount) includes fixed allowances.

Bonus three times a year (June, December, March) *Standard 7.0 months for 2019

Work location
Tokyo

Work location details
Minami Aoyama Office
Address: 3-1-31 Minami Aoyama, Minato-ku, Tokyo KD Minamiaoyama Building 4F

Nearest station: Tokyo Metro Ginza Line/Gaienmae Station

Passive smoking prevention: No smoking indoors

Possibility of transfer: None for the time being

Working hours

＜Working hours＞

Flexible time system (full flex)

Break time: 60 minutes (12:00-13:00)

Overtime work: Yes

＜Standard working hours＞

9:00-17:00

＜Working from home/remote work＞

Can be discussed (remote/from home 3 days a week)

Average monthly overtime hours

Details of average monthly overtime hours

Yes

Various allowances

Commuting allowance, health insurance, welfare pension insurance, employment insurance, workers' compensation insurance, retirement benefits system

＜Supplementary information on each allowance/system＞

Commuting allowance: ■Full payment

Social insurance: No special notes

Retirement benefits system: No special notes

Details of employee benefits

＜Education system/qualification assistance supplement＞

■Training provided at the time of joining the company
■Self-development system There are training programs such as qualification support system.


Bonus 3 times a year (June, December, March) *Standard 7.0 months in 2019, full commuting expenses paid, various social insurance, employee stock ownership plan, savings plan, childcare leave, nursing care leave, affiliated facilities and sports clubs nationwide

Holiday details
10 to 20 days of paid leave per year (minimum number of days is the number of days granted immediately after joining the company)
120 days of annual holidays

2 days off per week (Saturday and Sunday), public holidays, New Year's holidays, Christmas holiday (12/25), annual paid leave, refreshment leave, nursing care leave, volunteer leave, remote work available

Trial period
Yes
Trial period details

6 months

Number of employees
2

Selection flow

Yes

Other
*Flexible/Work from home possible/Full benefits ◎


Yes

〒150-0043　渋谷区道玄坂2-23-14　道玄坂225ビル8Ｆ (地図)
TEL: (+81) 03-6455-0360    FAX: (+81)03-6455-0361