■Resume and work history written in Japanese are required (There is a possibility that your application will not be processed if you only have English documents).
■We are a recruitment agency conducting this recruitment on behalf of the companies seeking employees.
■ Japanese N1 and business level or above required.
■Required:
Hard skills
・Experience solving business problems through data analysis (5 years or more including the most recent experience)
・Experience extracting and processing data using languages ​​such as SQL and Python (5 years or more including the most recent experience)
・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


Employment type
Full-time employee (indefinite contract)

Job description
◆Job description
In order 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 people who are interested can participate, so there are many opportunities to learn about areas of interest.
・We have a system that supports the growth of each employee so that they 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.
*We have a system that supports each employee to optimize their home environment for remote work.
・Because it is an organization with high psychological safety, it is an environment where it is easy to consult.
*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 at Timee
・We have a culture that welcomes discussions and proposals among team members about the optimal algorithms, models, codes, tools, etc. to achieve 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 the measures.
・You can be involved in analysis that requires various perspectives and knowledge and building machine learning models using Timee's data.
・A working agreement (a set of rules for working as a team = a shared understanding among the team) has been established to work productively in a remote environment.

Members
Our mission is to "create an infrastructure that expands the possibilities of life through work," and we are developing businesses such as the part-time job app "Timee."

In recent years, with the declining birthrate and aging population, the labor shortage has become more serious, and at the same time, the burden on workers has increased. "Timee," which we provide, can solve management issues related to "people" that companies face, such as resolving labor shortages and improving the work environment.

We also aim to fundamentally change the way people work, solve the problems that the traditional part-time and dispatch industries have had, and create a world where each person can work when they want and enrich their own time.

Application requirements
◆MUST
Hard skills
・Experience solving business problems through data analysis (5 years or more including the most recent experience)
・Experience extracting and processing data using languages ​​such as SQL and Python (5 years or more including the most recent experience)
・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

Required years of experience (job type)
3 years or more
IT engineer [system development, SE, infrastructure] / data scientist, data mining engineer
*Experience in this job type is required to apply

Required years of experience (industry)
Application category
Mid-career

Welcome conditions
Salary
Monthly salary
Annual salary 10 million yen to 15 million yen

Salary details
(Salary examples, etc.)
Annual salary 10,000,000 yen - 15,000,000 yen
*Previous annual salary will be taken into consideration
*Salary will be revised twice a year based on personnel evaluation

・Transportation expenses provided *Maximum 30,000 yen/month
・Salary increase based on performance (twice a year)

Bonus
None
Incentive
Stock options
Bonus details
Workplace
Tokyo

Workplace details
35F Shiodome City Center, 1-5-2 Higashi-Shinbashi, Minato-ku, Tokyo
Timee Inc. Tokyo Head Office

Remote work: Full remote work possible

Workplace (scope of change)
Possibility of transfer
None

Working hours
10:00-19:00

Flextime system (core time 12:00-16:00)
Standard working hours 10:00-19:00
*8 hours work per day x number of working days per month = working hours per month
Flextime system (core time 12:00-16:00)
Standard working hours 10:00-19:00
*8 hours per day x number of working days per month = working hours per month

Average monthly overtime hours
Details on average monthly overtime hours
Various allowances
Details on employee benefits
- Full range of social insurance: Health insurance/Employee pension/Employment insurance/Workmen's compensation insurance
◆ Internal systems

A system that allows employees to purchase company stock (※Membership required)


If an employee works using the Time Me app, the amount of compensation will be increased (upper limit)


The company will purchase books necessary to deepen industry knowledge

Subsidize the cost of participating in seminars necessary for work.

Subsidize the cost of meals for a shuffled lunch once a week between departments.

Subsidize the cost according to the activity so that you can interact through hobbies, etc.

A certain budget can be used as you like to stimulate team communication.

A gift money is given to employees who get married.

Holidays
Holiday details
Saturdays, Sundays, and holidays off
120 days of annual holiday
2 days off per week (Saturdays and Sundays), national holidays

120 days of annual holiday

Probationary period
Yes
Probationary period details
3 months

Number of employees
5

Selection flow
Document screening
↓
First interview (on-site manager/member)
↓
(If necessary) Second interview (on-site manager/member)
↓
Final interview (Executive Officer CAO/HR)

Other
About passive smoking measures
Details of passive smoking measures
No smoking
Indoor smoking is prohibited (smoking space available in the building)
Measures available

〒150-0043　渋谷区道玄坂2-23-14　道玄坂225ビル8Ｆ (地図)
TEL: (+81) 03-6455-0360    FAX: (+81)03-6455-0361