micware | Data Scientist
Data Scientists
Job Summary
Conditions
Language requirements
Key skills
- Machine learning
- DataAnalysis
Job Description
Job role
Data Scientist
Job description
micware, celebrates its 20th anniversary in March 2023 as an in-vehicle software company.
Starting with the development of car audio and other vehicle systems, the company began developing car navigation systems in 2009.
Currently, the system is installed in more than 600,000 units per year by major automakers.
In the MaaS market, which is expected to be worth 900 trillion yen worldwide by 2050, we have set the following goals:
- Seamless mobility proposals
- 3D maps connecting the past and the future
- Recommendations and future forecast information to users
Our business is growing steadily and we are planning to develop new services.
We are looking for a data scientist who will contribute to service growth by utilizing data as a member of a group of professionals who have mastered "mobility"!
Responsibilities:
- Analysis and logic development of data collected from IoT devices
- Analysis of data collected from IoT devices and logic development utilizing the results, such as the following
- Mobility (logistics)
- Energy (electricity)
- Environmental data (temperature, humidity, CO2 concentration)
This is a challenging project as an engineer because you will be able to listen to customer opinions and reflect the proposals and improvements of new functions in your own services!
Details will be provided in the interview. First, let's talk casually!
Benefits
- Clear evaluation system
Skills are visualized in terms of scores, and salaries and bonuses are determined based on individual skills rather than seniority. The attractive point is that we have established a system that rewards employees for their efforts.
- Stimulating growth market
In the automotive industry, which is undergoing a major revolution, you will be involved in the development of new experiences for users and the creation of the future of mobility, while making use of our accumulated in-house knowledge.
Required skills and experiences
Basic qualifications
- Data analysis skills
- Machine learning
*Basically, any method is acceptable.
Preferred qualifications
- Use of data analysis tools such as Pandas, Numpy or R
- Use of machine learning tools such as scikit-learn
Ideal applicants
- Those who find it rewarding to develop and provide their own products and services.
- Those who are able to propose and execute new methodologies on their own, rather than just using the current development environment and systems.
Job Details
| Employment type | Full-time |
|---|---|
| Minimum annual salary(JPY) | 4,500,000 |
| Maximum annual salary(JPY) | 12,000,000 |
| Salary description | <Examples of annual salary>
Age 30, Senior Manager (Grade 4): 7 million yen Age 35, Assistant Manager (Grade 5): 9 million yen Age 40, Section Chief (Grade 6): 12 million yen |
| Location | 17F, Shinagawa Intercity Tower C, 2-15-3 Konan, Minato-ku, Tokyo
(There is an internal policy of remote office prerequisites depending on the choice of employment status.) |
| Apply from | Only Japan |
| Remote work | Partial remote |
| Working hours | 9:00am - 6:00pm
(42 hours of deemed overtime work) |
| Holidays | - Number of annual holidays (120 days)
- 2 days off per week (Saturdays and Sundays) - Others (GW, summer, year-end and New Year, congratulation or condolence, paid vacations, etc.) |
| Employee benefits | - General employee meetings, various social gatherings, employee insurance, stock option plan, company trips, sports clubs, company defined contribution pension plan
- Commuting allowance (full payment), position allowance, overtime allowance, early morning work allowance - Various social insurances - Business skill improvement seminars, on-the-job training system, follow-up training, leadership development program - Health checkups, influenza vaccinations, and interviews with industrial physicians and public health nurses are available. |
| Selection flow | Documents Screening → Preliminary Screening → Web Aptitude Test → Final Screening (Preliminary and Secondary) |
| Others | No smoking on the premises (smoking areas are available outside) |
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