|This posting is managed by:||Gowell Co., Ltd.|
|Company Name||Company is not publicly visible|
IT (Other) - Data Analyst/Data Scientist
We will take on the role of consulting business that solves corporate business problems using statistical modeling, machine learning, and deep learning, which are the core of our business.
Unlike general consulting, our consulting does not solve problems unilaterally, but provides hands-on consulting that works with the team of client companies through the project. We also expect that you will carry out content development work that will be utilized in the school based on the knowledge and insights gained from the consulting work.
One of the characteristics of our work is the instructor business, but if we position it as an opportunity to output the knowledge and experience cultivated through consulting, we can reconfirm our own skills and experience, so we can synergize with both consultants and instructors. The effect can be expected.
By touching on issues in all cases as a consultant and systematically understanding data scientists as a lecturer, you will be in a position to train data scientists who are said to be in short supply in the future, so there is no doubt that the market value will be further improved.
① Consulting work as a data scientist
Based on knowledge of statistics, mathematics, programming, etc., we carry out data analysis to solve the problems of client companies. We will deeply understand the client's business and find the best way to utilize data with the company and three-legged race. It is a business that changes the client's awareness of data utilization and reconstructs the way the organization should be while being deeply involved in the management policy and business plan of the company.
<Main project cases>
A wide range of clients outside the manufacturing industry and a large number of project achievements in a wide range of fields.
・ Algorithm development support for streamlining sales activities
・ Recommendation engine development support
・ Human resources matching using questionnaires and e-learning viewing behavior
・ Support for personnel measures based on staff motivation analysis
・ Analysis of the tendency of early turnover by aptitude test
・ Support for development of sales efficiency optimization engine
・ Algorithm development support for optimizing the placement of goods in distribution warehouses
・ Development of delivery route optimization algorithm, etc.
(2) Lecturer work and content development work at the data scientist training school
It is a lecturer business that not only changes the company from the outside, but also conveys the skills as a data scientist to business people who want to change the organization by utilizing data from within the company. In addition to teaching theories and methods, we are also responsible for encouraging and supporting the students who are taking on the challenge of organizational change within the company they work for.
Students have different backgrounds, so interacting with them will improve their business sense. There is an environment where you can learn together, rather than a one-way exchange of teaching as an instructor.
In addition, by researching the latest data science trends and market needs and developing educational content, it is an environment where you can come into contact with the latest data science theory.
It is a start-up company established in 2017. For corporations that want to create a data science team, we will develop corporate training for data science, career change to data scientists, and data science schools for working adults who aim to step up in the company, and at the same time, for companies that are working on data utilization. We provide consulting services and advisory services that incorporate machine learning and statistical models.
The government is promoting an AI strategy so that all citizens can learn by 2025. We also support our company so that the people can learn the knowledge of data science, and we are operating a business centered on the education business in order to raise the data literacy of society as a whole.
|Working Hours||Flextime system (no core time) Standard working hours: 8 hours|
・ At least 1 year of consulting work experience using machine learning with Python or R and data analysis using statistical modeling
・ Experience in strategic consulting
・ Deep understanding of a particular industry
|Japanese Level||Fluent(JLPT Level 1 or N1)|
|Salary||JPY - Japanese Yen JPY 4000K - JPY 6000K|
Commuting/ Transportation Allowance
|Nearest Station||Jimbocho Station (Tokyo Metro Hanzomon Line / Toei Mita Line / Toei Shinjuku Line)|