Top-Selling Points

Rate of Foreigners

Less Than

Frequency of English Usage

Less Than

Top-Selling Points

Rate of Foreigners
Less Than

Frequency of English Usage
Less Than

Related Skills

Programming Language

Python SQL

Language Requirements

Required

Preferred

Language Requirements

Required

Japanese: Business

English: Greetings/None

Preferred

No Data

Job Description

【Recruitment Background】
As the business grows, the company is faced with the challenges of improving the productivity of internal sales members, upgrading marketing activities using machine learning and other methods, and improving the UX of app users. Although they are taking a data science approach to these issues, they are looking for a new colleague to accelerate their efforts.

【Responsibilities】
Depending on your intentions, you may be assigned to work in one of the business, marketing, or product areas, or across the areas, as follows

<Business & Marketing>
You will be responsible for developing data products to improve the productivity of internal sales members, upgrading marketing activities using machine learning and other methods, and modeling the dynamism of TIMEY's business activities, while communicating with business unit members, marketing members, and other data job members. 

<Products>
In order to improve the UX for app users, you will enhance the search and recommendation system, maintain and improve the health of the platform, and conduct other R&D activities. You will be responsible for incorporating the results (forecasting results, etc.) into products while communicating with product development members and other members of the data profession.

In both the business, marketing, and product areas, you will be expected to perform the following specific duties.
Issue exploration and definition
Project formation
Roadmap development
Technical research and validation, including paper research
Specific analysis, modeling and engineering work
Demonstration experiments
KPI design
Design of effectiveness verification
Establishment and operation of monitoring and operation system
Hypothesis testing for improvement
Contribution to team operation improvement and team common development infrastructure

Data handled
・Access logs of app users, information on recruitment details
・Information related to matching
・Data related to advertising effectiveness, such as review and evaluation information and app installations
・Data related to inquiries
・Data on sales activity information
You will be dealing with the data listed above.

【Features of the Data Engineering Department】
・The Data Engineering Department as a whole holds study sessions approximately three times a week. Study sessions are also held across divisions, and those who are interested can participate in them, so there are many opportunities to learn about areas of interest.
・There is a system to support growth so that each individual can work autonomously to improve their technical skills.
・Flextime x remote work is available, so you can choose an environment where you can focus on your own work.
　*There is a system to support the optimization of each person's home environment for remote work.
・The organization has a high level of psychological safety, making it easy to ask for help.
　*Reference article: “A study session on psychological safety was held.
・The company has a good soil for utilizing data. In addition, many employees, including management, understand the importance of data.

【Attractiveness of working as a data scientist for the company】
As a pioneer in the new market of “spot work,” you will be deeply involved in creating the infrastructure to expand the possibilities of every person's life.
The company values operation/continuous learning/accuracy monitoring, rather than creating a machine learning model and calling it quits.
You can be involved from the design of the measures.
Since another team is in charge of maintaining the data infrastructure, you can focus on creating value as a data scientist.
The complexity of the modeling targets with many variables to be considered and the short lifespan of the items make it highly challenging. However, you will be able to work with data scientists who embody a high level of “data science”, “business”, and “data engineering” skills, and you will be able to conduct measures and verifications with a high level of agility.
There is a culture that welcomes discussions and suggestions by team members on the best algorithms, models, codes, tools, etc. to realize the group's mission.

Required Skills and Experiences

【MUST】 Hard Skills ・3+ years of experience solving problems through data analysis in research or business ・Basic knowledge of statistics and machine learning ・3+ years of experience extracting and processing data using languages such as SQL and Python ・Experience in cloud development (especially GCP or AWS) ・Experience with development using GitHub or git hosting services Soft Skills ・Empathy with the company's mission and socially responsible business ・Fit with the company's values ・Willing to provide input to understand the industry and customers ・Able to think independently and take initiative to solve problems ・Able to communicate smoothly with others and boldly involve them in the work process ・Able to communicate with others in a considerate manner, rather than being all about the logical. 【WANT】・Problem finding, problem solving, and logical thinking skills ・Experience in automation using CI/CD ・Experience in building and operating machine learning pipelines ・Experience in effectiveness testing and causal inference ・Experience in web development using programming languages

After sign up, you can browse all information.

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Working Condition

Welfare
・Full social insurance
・Commuting allowance *Up to 30,000 yen/month
・Salary increase based on performance (twice a year)

Holiday
120 days off per year
2 days off per week (Saturday and Sunday), national holidays
・Relaxation leave (in addition to annual paid vacations, 5 days of paid leave per year are granted on the first day of employment, and 5 days per year thereafter)
・Annual paid leave
・Year-end and New Year vacations
・Celebration or condolence leave
・Maternity leave

<Employee Stock Ownership Plan>
A system that allows employees to purchase the company's shares.

<In-house App>
Employees who work using the in-house app will receive additional compensation (up to a maximum amount).

<Book Purchase>
Company purchases books necessary to deepen knowledge of the industry.

<Subsidy for seminar expenses>
Subsidizes the cost of attending seminars necessary for work.

<Shuffle lunch expense subsidy>
Subsidizes the cost of a weekly shuffle lunch between departments.

<Club activities>
Subsidies for club activities to encourage interaction through hobbies and other activities

<Team building>
Allows employees to spend a certain amount of their budget as they wish in order to stimulate team communication.

<Marriage gift money>
Provide congratulatory money to employees who get married

RECRUITMENT PROCESS

Casual interview
↓
Document screening
↓ 
Initial interview (on-site member)
↓
Second round interview (GM and manager interview)
↓ 
Final interview (CTO)

Business (description what they do)

Recruiting business specializing in job change support for foreign IT personnel

Available Jobs in (G Talent)

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Top-Selling Points

Rate of Foreigners

Less Than

Frequency of English Usage

Less Than

Top-Selling Points

Rate of Foreigners
Less Than

Frequency of English Usage
Less Than

Related Skills

Programming Language

Python SQL

Language Requirements

Required

Preferred

Language Requirements

Required

Japanese: Business

English: Greetings/None

Preferred

No Data

Job Description

【Recruitment Background】
As the business grows, the company is faced with the challenges of improving the productivity of internal sales members, upgrading marketing activities using machine learning and other methods, and improving the UX of app users. Although they are taking a data science approach to these issues, they are looking for a new colleague to accelerate their efforts.

【Responsibilities】
Depending on your intentions, you may be assigned to work in one of the business, marketing, or product areas, or across the areas, as follows

<Business & Marketing>
You will be responsible for developing data products to improve the productivity of internal sales members, upgrading marketing activities using machine learning and other methods, and modeling the dynamism of TIMEY's business activities, while communicating with business unit members, marketing members, and other data job members. 

<Products>
In order to improve the UX for app users, you will enhance the search and recommendation system, maintain and improve the health of the platform, and conduct other R&D activities. You will be responsible for incorporating the results (forecasting results, etc.) into products while communicating with product development members and other members of the data profession.

In both the business, marketing, and product areas, you will be expected to perform the following specific duties.
Issue exploration and definition
Project formation
Roadmap development
Technical research and validation, including paper research
Specific analysis, modeling and engineering work
Demonstration experiments
KPI design
Design of effectiveness verification
Establishment and operation of monitoring and operation system
Hypothesis testing for improvement
Contribution to team operation improvement and team common development infrastructure

Data handled
・Access logs of app users, information on recruitment details
・Information related to matching
・Data related to advertising effectiveness, such as review and evaluation information and app installations
・Data related to inquiries
・Data on sales activity information
You will be dealing with the data listed above.

【Features of the Data Engineering Department】
・The Data Engineering Department as a whole holds study sessions approximately three times a week. Study sessions are also held across divisions, and those who are interested can participate in them, so there are many opportunities to learn about areas of interest.
・There is a system to support growth so that each individual can work autonomously to improve their technical skills.
・Flextime x remote work is available, so you can choose an environment where you can focus on your own work.
　*There is a system to support the optimization of each person's home environment for remote work.
・The organization has a high level of psychological safety, making it easy to ask for help.
　*Reference article: “A study session on psychological safety was held.
・The company has a good soil for utilizing data. In addition, many employees, including management, understand the importance of data.

【Attractiveness of working as a data scientist for the company】
As a pioneer in the new market of “spot work,” you will be deeply involved in creating the infrastructure to expand the possibilities of every person's life.
The company values operation/continuous learning/accuracy monitoring, rather than creating a machine learning model and calling it quits.
You can be involved from the design of the measures.
Since another team is in charge of maintaining the data infrastructure, you can focus on creating value as a data scientist.
The complexity of the modeling targets with many variables to be considered and the short lifespan of the items make it highly challenging. However, you will be able to work with data scientists who embody a high level of “data science”, “business”, and “data engineering” skills, and you will be able to conduct measures and verifications with a high level of agility.
There is a culture that welcomes discussions and suggestions by team members on the best algorithms, models, codes, tools, etc. to realize the group's mission.

Required Skills and Experiences

After sign up, you can browse all information.

If you already have a GitTap Account, please login.

Working Condition

Welfare
・Full social insurance
・Commuting allowance *Up to 30,000 yen/month
・Salary increase based on performance (twice a year)

Holiday
120 days off per year
2 days off per week (Saturday and Sunday), national holidays
・Relaxation leave (in addition to annual paid vacations, 5 days of paid leave per year are granted on the first day of employment, and 5 days per year thereafter)
・Annual paid leave
・Year-end and New Year vacations
・Celebration or condolence leave
・Maternity leave

<Employee Stock Ownership Plan>
A system that allows employees to purchase the company's shares.

<In-house App>
Employees who work using the in-house app will receive additional compensation (up to a maximum amount).

<Book Purchase>
Company purchases books necessary to deepen knowledge of the industry.

<Subsidy for seminar expenses>
Subsidizes the cost of attending seminars necessary for work.

<Shuffle lunch expense subsidy>
Subsidizes the cost of a weekly shuffle lunch between departments.

<Club activities>
Subsidies for club activities to encourage interaction through hobbies and other activities

<Team building>
Allows employees to spend a certain amount of their budget as they wish in order to stimulate team communication.

<Marriage gift money>
Provide congratulatory money to employees who get married

RECRUITMENT PROCESS

Casual interview
↓
Document screening
↓ 
Initial interview (on-site member)
↓
Second round interview (GM and manager interview)
↓ 
Final interview (CTO)

Business (description what they do)

Recruiting business specializing in job change support for foreign IT personnel

Available Jobs in (G Talent)

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