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

[Senior Data Scientist] Industry inexperienced OK / 120 days of annual leave (famous Japanese startup)
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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
IT (Other) - Other
Industry Internet Services/ISP (Internet Service Provider)
Location Asia Japan Tokyo

Job Description ◆Job Description
To improve the UX of app users, you will develop machine learning models 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.

・Analyzing usage trends through the analysis of app user access logs
・Proposing solutions to various business issues using data analysis
・Verifying the effectiveness of measures
・Creating significant features
・Developing machine learning models such as user recommendations
・Building and operating 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
・Data related to 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 are also held across business departments, and anyone interested can participate, so there are many opportunities to learn about areas of interest.
・There is a system 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 your work.
*There is a system to support each person in optimizing their home environment for remote work.
・Because it is an organization with high psychological safety, it is easy to consult with others.
*Reference article: "We held a psychological safety study session"
・The soil is in place to utilize 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.
・It is not over after creating a machine learning model, but we value operation/continuous learning/accuracy monitoring.
・You can be involved from the design of measures.
・You can be involved in analysis that requires various perspectives and knowledge using data, and in building machine learning models.
・A working agreement (promises for working in a team = shared 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 that companies face, such as resolving labor shortages and improving the work environment, we can fundamentally change the way people work by solving issues that the traditional part-time and temporary staffing industries have faced.
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 business problems through data analysis (5 years or more including the most recent)
・Experience extracting and processing data using languages such as SQL and Python (5 years or more including the most recent)
・Experience building and operating machine learning systems in the cloud (especially GCP or AWS)
・Experience managing data science projects (3 years or more)
・Knowledge and experience in effectiveness verification and causal inference
・Development experience using GitHub or git hosting services
Japanese Level Fluent(JLPT Level 1 or N1)
Salary JPY - Japanese Yen JPY 10000K - JPY 15000K   
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