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Updated 2025-05-01
Activated 2025-04-23

[Data Scientist] No experience necessary / 120 days of annual leave / Flextime system
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This posting is managed by: GLナビゲーション株式会社
Company Name Company is not publicly visible
Job Type IT (Other) - Data Analyst/Data Scientist
Consulting - IT Consulting (Other)
Industry Internet Services/ISP (Internet Service Provider)
Location Asia Japan Tokyo

Job Description ◆Recruitment background
About five years after its release, our main part-time job service has become a service used by 7 million workers and 98,000 companies. However, it is still only used by a small portion of the working population, and the challenge to become a social infrastructure has just begun.

As an organization, we are at a time when we need to promote organization to create a future business foundation, and many roles are being created. We are working to expand our development organization through active technology investment and to organize a development system that can respond to the speed of business growth.

Based on our vision and mission, we are looking for a back-end engineer to work on product development to make Spot Work a new social infrastructure.

◆Job content
In order to improve the UX of app users, you will develop a machine learning model based on log data. You will also be responsible for a wide range of tasks, such as helping with strategy planning through the planning and construction of simulation models, verifying the effectiveness of campaign measures, and building and operating machine learning pipelines.

・Analysis of usage trends through analysis of app users' access logs
・Proposal of solutions using data analysis for various business issues
・Verification of the effectiveness of measures
・Creation of significant features
・Development of machine learning models such as user recommendations
・Construction and operation of machine learning pipelines

◆Data handled
・App user access logs, information on recruitment details
・Information on matching
・Reviews, evaluation information, and data related to advertising effectiveness such as app installations
・Inquiries
・Sales activity information data
We handle the above data.

◆Characteristics of the Data Engineering Department
・The entire Data Engineering Department holds study sessions about three times a week. Study sessions across business departments are also held, and anyone interested can participate, so there are many opportunities to learn about areas of interest.
・There is a system in place to support growth so that each individual can work independently to improve their technical skills.
・Flexible and remote working is possible, so you can choose an environment where you can concentrate on working.
*There is a system in place to support each individual's home environment to optimize remote work.
・As it is an organization with high psychological safety, it has an environment where it is easy to consult.
*Reference article: "We held a psychological safety study session"

- The environment is set up for utilizing data. In addition, many employees, including the management team, understand the importance of data.

◆The appeal of working as a data scientist

- There is a culture that welcomes discussions and proposals among team members about the optimal algorithms, models, codes, tools, etc. for realizing the group's mission.

- Creating a machine learning model is not the end of the matter; we place importance on operation/continuous learning/accuracy monitoring.

- You can be involved from the design of measures.

- You can use data to carry out analysis that requires various perspectives and knowledge, and to build machine learning models.

- A working agreement (a set of rules for working as a team = a common understanding among the team) has been established to work productively in a remote environment.
Company Info Our company's mission is to "create infrastructure that expands life's possibilities through work," and we are developing a part-time job app business.

In addition to resolving people-related management issues faced by companies, such as resolving labor shortages and improving the work environment, we can fundamentally change the way people work by solving issues faced by the traditional part-time job and temp agency industries.
Going forward, we will strive to create infrastructure with a variety of approaches that go beyond "work," aiming for a world where everyone can enrich their time.
Job
Requirements		 ◆MUST
Hard skills
・Experience solving problems through data analysis in research or business (3 years or more)
・Basic knowledge of statistics and machine learning
・Experience extracting and processing data using languages such as SQL and Python (3 years or more)
・Experience developing in the cloud (especially GCP or AWS)
・Development experience using GitHub or git hosting services
Japanese Level Fluent(JLPT Level 1 or N1)
Salary JPY - Japanese Yen JPY 5000K - JPY 9000K   
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