Data scientist

Full-Time Employee
  • Post Date: 2019-09-02
  • Career Level Programmer
  • Offerd Salary ¥6 - ¥8 Million
  • Experience 5 Years
  • Number of employee 1 person
  • Gender Required Both
  • INDUSTRY IT
  • Qualification Bachelor Degree
  • Working Hour 9:00 to 17:00
  • Trial Period 3 Months
  • Department Assign Cloud Apps Division Data Science Team
Job Description

Data analysis work using statistics and machine learning technology 

● Fields related to focused point AI Machine learning, especially data analysis using deep learning, natural language analysis using topic model analysis, etc. 

● Use step-up example machine learning There was data analysis learn and want to better the skills 

joined 1 year: for senior engineer, pre-processing of data analysis, parameter tuning, such as in charge of auxiliary business 

joined 2 years: from analysis program implementation, to data analysis, in charge of operations in the first person 

● projects Contents 

① Farmer’s vegetable cultivation support: Deep learning is used to determine the state of vegetable growth, such as the actual ripeness, stem and leaf health, and the presence or absence of pests .

As technical elements, Python, Chainer and OpenCV are used. 

● Project details 

② Performance prediction of processed products: 

The quality of processed products generated by combining raw materials is predicted using deep learning. 

This will improve the efficiency of product research and development. 

As technical elements, Python, TensorFlow, and Keras are used. 

● Project details 

③ Idol group blog analysis: Understanding the characteristics of a specific idol’s blog through natural language analysis and analyzing what kind of blogs (sentences) should be collected . 

As technical elements, Python, topic model analysis is used. 

● Project details 

④ World Cup and Olympics audience rating prediction: The audience rating is predicted from 

past audience ratings, program name, time zone, station name, etc. 

Based on this result, we recommend the broadcast rights for the games with the highest ratings. 

As technical elements, Python and scikit-learn are used.

Hiring requirements

Qualifications 

① For those who have experience in data analysis. 

[Mandatory] 

・ 1 year or more experience in data analysis using statistics or machine learning 

【Welcome】

・ Work experience in Python 

・Work experience using deep learning 

・ TensorFlow, Keras, Chainer, scikit-learn frame Work experience in work, data analysis infrastructure construction experience on cloud service, data processing experience using SQL 

2) Applicants 

 who have no experience in data analysis work. 

 For those who want to challenge the field of data analysis. 

[Required] 

・ Working experience in web system and application development is more than 1 year or working experience in web system operation and maintenance is more than 1 year 

・ Working experience in Python is more than 1 year 

・ Working experience on Linux and Unix is ​​1 More than a year 

・Working experience using SQL more than 1 year 

Treatment conditions and salary bonus

1. Salary 

3.5 million yen-9 million yen 

4.5 million yen-9 million yen Experienced people 

3.5 million yen-7 million yen Inexperienced people 

* Determined based on experience and skills. 

30-year-old manager monthly salary 425,000 yen (basic salary 282,630 yen, role salary 125,000 yen, deemed overtime fee <30 hours for fixed overtime fee> 17,370 yen * 1) 

* 1: If fixed overtime exceeds 30 hours a month, the excess Additional payment. 

28 years old Graduated 3 years Leader monthly salary 305,000 yen (basic salary 235,100 yen, role salary 10,000 yen, deemed overtime fee (fixed overtime fee 30 hours) 59,900 yen * 2) 

* 2: Fixed overtime hours exceeding 30 hours a month In the case of surplus, additional payment is made. 

■ Monthly salary 

■ Salary revision: Twice a year 

■ Bonus: Summer / Winter twice a year (June once a year for managers and above) 

■ Trial period: 6 months (salary conditions remain the same)

【Welcome】

・ Basic knowledge of statistics 

・Basic knowledge of machine learning and deep learning 

・ Basic knowledge of framework such as TensorFlow, Keras, Chainer, scikit-learn

Welfare

◇ Full payment of transportation expenses 

◇ Deemed overtime pay + overtime pay (when over 30 hours of overtime work) 

◇ Role pay 

◇ Late night work allowance 

◇ Qualification support system 

◇ Corporate pension (defined contribution pension) system 

◇ Survivor pension system 

◇ Keihan Sumikin (increased third childbirth congratulatory gift) 

◇ Equipped with various social insurance (employment, occupational accidents, health, welfare pension) 

◇ Regular health checkup 

◇ Various training systems (with snacks for training and study sessions) 

◇ Employee general meeting 

◇ Excellent employee commendation 

◇ Kanto IT Health Insurance Association’s national welfare facilities available 

◇ In-house planning events held as needed

Holiday

★ 123 days a year, 2 days a week (Saturday, Sunday) 

* Depending on the place of work, there may be shift work. 

・ Holidays , New Year holidays (6 days) , Summer holidays (3 days) , Paid leave , Keio leave

・ Special leave , maternity leave , childcare leave , donor leave , volunteer leave , maternity leave , disability leave , refresh leave , self-paid leave (rest for up to 3 years) study abroad, qualification, volunteer, Childcare, nursing care, etc.

Selection process

Document selection 

→ 1st interview (engineer) + Personality diagnosis (30 minutes) 1st day 

→ 2nd interview (business manager) → 2nd interview (President) 2nd day