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Company Name |
Human Resocia Co., Ltd. |
---|---|
Job Type |
![]() IT (Other) - Machine Learning/AI Engineer IT (Other) - Other |
Industry | Staffing Agency |
Location |
Asia
Japan
|
Job Description |
Human Resocia is THE GLOBAL COMPANY. Over 400 foreign engineers from more than 40 countries works at Human Resocia. Our engineers will be seconded to the client to take charge of the projects. Projects include data analysis, algorithm implementation, machine learning (decision tree, Logistic regression, random forest, naive Bayes classifier, k-nearest neighbor method, Creation of predictive models using k-means clustering, neural networks, etc., statistical analysis, etc. You will be asked to perform analysis and hypothesis construction using technologies such as clustering. Every engineers will be assigned to the project that suits your experiences. 【Project example】 ・ Creation of machine learning prediction models for sales trends due to climate change ・ Data analysis using access log data ・ Development of placement optimization study system for improving ES using personnel data ・ Advertising analysis and dynamic pricing using ad technology ・ Financial forecasts for the financial industry, stock price forecasts, quants ・ Demand forecast, sales forecast, complaint forecast for manufacturers / dealers |
Company Info |
Human Resocia hope that IT engineers from all over the world to play an active role in Japan. Therefore, we started the "Global IT Talent (GIT) Service" since July 2016. "Global IT Talent (GIT) service" , which is gathered organization of excellent human resources from more than 40 countries including Japan, provides various advanced technologies and skills for projects in Japan, sach as web and mobile applications, AI, IoT, big data, image analysis, data analysis, etc. We are active in Japanese projects where high skills are in demand. In order to expand our business and strengthen our system in the future, we are looking for engineers of various occupations. ★Characteristics of Human Resocia★ ・ Engineers from more than 40 countries, including India, Myanmar, France, and the United States, are active! ・ Recruitment by Full-time employees! ・ The support system for foreign engineers such as VISA and moving support is enhanced! ・ Japanese follow-up training (JLPT qualification preparation training, family training, etc.) ・ There are many projects of using the latest technology and a wide range of clients (major companies to start-up companies)! ・ Quick selection speed (About 1 week from job interview to offer)! ・ Daily Japanese conversation level is acceptable (JLPT N4 level)! * No qualification required! 【Measures against passive smoking】 Tokyo head office: No smoking on the premises (There is an outdoor smoking area) *It may change based on a project |
Working Hours |
9: 00-18: 00 * Same as the project destination |
Job Requirements |
【Qualifications】 - Hands on experience of data science - Experience in Python or R - University graduates of science departments such as Computer Science, Information Technology, Statistics or Mathematics 【Preferred Qualifications】 - Experience using BI tools (PowerBI, Tableau, etc.) - Experience in some frameworks such as Hatoop or Spark etc. |
English Level | Business Conversation Level (TOEIC 735-860) |
Japanese Level | Daily Conversation Level |
Salary | JPY - Japanese Yen JPY 3000K - JPY 6000K |
Other Salary Description |
・ Annual salary system * New graduates start from 3 million ・ Salary increase (once a year) ・ Overtime allowance (overtime allowance 125%, holiday work allowance 135%) 【Welfare】 Work visa acquisition support, company housing allowance, housing search support, commuting allowance (up to 30,000 yen per month), complete social insurance, retirement allowance system, in-house training (Japanese, business etiquette, technology), employee introduction system |
Holidays |
Five-Day Workweek in principle Summer Holidays Winter Holidays Paid Holidays Congratulatory or Condolence Leave Child-care Leave *It may change based on a project |
Job Contract Period |
Employment of full-time employees (trial period is 3 months) * No change in salary or treatment during the trial period |
Nearest Station | * Same as the project destination |