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Updated 2021-01-15
Activated 2020-12-18

Data Scientist (Fintech, Adtech, etc.)
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  • ★★ Staff Level
This posting is managed by:
Pasona Tech, Inc./株式会社パソナテック
Company Name Company is not publicly visible
Job Type
Pasona Tech, Inc./株式会社パソナテック
IT (PC, Web, Unix) - Web Application SE
IT (Mainframe) - Application SE
IT (PC, Web, Unix) - Database SE
Location Asia Japan Tokyo

Job Description Please participate in one of the following first.
After that, you can further develop your expertise or participate in other projects and build your desired career according to your achievements.

 1. Fintech project
 2. Adtech project
 3. Other newly launched projects

 [R & D]
・ While working on a project, for a certain period of time, everyone will study cutting-edge machine learning methods and new machine learning applications.
・ Furthermore, the members selected every quarter will focus on R & D.
[Essential experience]
・ Experience learning "probability theory / statistics" at schools, research institutes, or specialized departments of companies, and analyzing data using that method.
・ Experience in solving problems using mathematical models in academic institutions, research institutions, or specialized departments of companies.
-Experience coding in major programming languages (Python, Java, C / C ++, etc.).
・ Experience learning typical methods of “machine learning” and actually trying at least one.

 [Welcome experience]
・ Experience studying "probability theory / statistics" professionally.
・ Experience of actually achieving results using a “machine learning” model to solve a problem.
・ Experience working in financial engineering (pricing, risk management, trading systems, market structure, etc.).
・ Experience working on ad tech (CTR prediction, DSP / SSP / DMP / ad network, etc.).
-Extensive coding experience using Python. Experience using PyData (numpy, scipy, pandas, scikit-learn, etc.).
English Level Business Conversation Level (TOEIC 735-860)
Japanese Level Daily Conversation Level
Salary Depends on experience   
Other Salary
■ Commuting allowance
■ Raising and lowering four times a year (January, April, July, October)
Defined contribution pension
 Various social insurance (health insurance, welfare pension, defined benefit corporate pension, employment insurance, work injury insurance)
 Employee Shareholding Association
 Welfare support system (sports club / English conversation subsidy)
Contract recreation facilities
 Transportation expenses (within tax exemption limit)
 Condolence condolence money
 児 Childcare / nursing care leave and reduced working hours
Holidays Complete weekly two-day system (Saturday, Sunday and public holidays)
Summer vacation
Winter vacation
Refresh vacation
paid holidays
Parental leave
Job Contract
Regular employee

Please apply from here



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Data Scientist (Fintech, Adtech, etc.)