[Company Profile]

It is a company established in 2019 that develops data analysis and AI construction support.

▼ Business content

・ Data analysis, annotation, machine learning, deep learning

・ Big data analysis / AI introduction consulting

・ Providing products using big data analysis

・ AI construction / system development / operation

・ Data scientist training

The use of AI is not limited to the sophistication of marketing and quality control, but is expected to expand in various business areas.

We are supporting the utilization and practical application of AI to our client companies.

The three pillars of the business are the data analysis / AI construction support business, the product business, and the data scientist training training business.

■ Data analysis / AI construction support

We support the solutions of the problems faced by client companies with the power of data science and data engineering. Specifically, we will support the introduction of processes leading to AI construction, accumulation of analysis data, prediction model construction, and visualization.

■ Product

Based on the data of client companies and third-party data such as demographics, we provide various services such as analysis and visualization of issues and goals, and construction of prediction models by AI and machine learning. By utilizing proven platforms and tools such as NTT DoCoMo Inc. "Mobile Spatial Statistics", KDDI CORPORATION "KDDI Location Data", Domo, Inc. "DOMO", and Repro Inc. "Repro", the situation can be monitored in real time. Understand and connect to not only solving existing problems but also discovering new problems.

[Background of recruitment]

In-house training of data analysts PJT was launched in April 2018, and currently there are about 60 data analysts, machine learning engineers, and DB engineers.

To further accelerate the growth speed beyond the expectations planned at the time of launch.

[Attractive points of company/work]

"Career change from engineer"

"Aiming to be a data scientist, learn data analysis skills from inexperienced occupations"

After joining the company, you can thoroughly learn SQL, Python, and statistics through [up to 2 months of in-house training].

【Training content】

Linux basics, SQL, Python, natural language analysis, Tableau, statistical tests, machine learning, deep learning, etc.

★ Customize the training to suit each person's experience! ★

As a full-stack engineer, the instructor has a track record of research and development of ICT equipment and educational systems for instruction.

While being involved in multiple R & D projects, I also plan and develop training projects.

[Job description]

At PJT, you will start with basic tasks such as data extraction from DB using SQL, aggregation, etc., and basic Python coding, and eventually perform statistical analysis.

<Post-training project>

1. In-house service

・ Development of various services using machine learning and AI

2. Data Scientist Area

① Data mining: Data extraction / extraction / analysis

② Database marketing: strategy planning, planning and operation

③ Data visualization: Infrastructure construction, KPI setting, BI conversion

3. Machine learning engineer area

① Business improvement: Business analysis, automation

② Coding work: Examination, development, tuning of various models

[Requirements]

Those who have any of the following experiences

・ Creation and proposal of proposal materials to client companies

・ Various marketing operations

・ Data extraction / processing work (SQL, Hadoop, Redshift, etc.)

· Using R, Python, SPSS Modeler, Tableau, SAS

・ Some programming and machine learning experience

・ Graduated from various AI schools

* This occupation is premised on those who have more than one year of work experience.

(It doesn't matter if the business is not related to AI or data)

・ Required Japanese ability : N1

[Preferred requirements]

・ Experience of extracting data from DB using SQL, Big Query, Red Shift, etc.

・ Data analysis and reporting experience for SPSS, SAS, R, Python, etc.

・ Development experience in SQL, Python, R language

・ Work experience in marketing research, market research, etc.

・ Knowledge about statistics and machine learning

[Personal image]

・ Those who want to experience data extraction and want to shift to analysis

・ Those who want to become a data scientist in the future

・ Those who want to make use of development engineers and change their careers to become scientists

・ Those who are interested in solving corporate problems using machine learning

[Conditions]

Employment Type: Permanent

Trial period: 3 months

Estimated annual income: 3-4.5 million yen

Work location: Tokyo

Working hours: 9: 30 ~ 18: 00

Holidays: 2 days a week (Saturdays and Sundays), national holidays

Vacation: Summer vacation, year-end and New Year holidays, and other vacations available

Overtime: Average month

Benefits: Complete social insurance, commuting allowance (according to company regulations), and other benefits

[About selection]

Number of applicants: 5

Documents required for application: resume, resume of work

Online interview: Unknown

Interview language: Japanese

Number of interviews (flow): 2 times

Application for overseas residents: Unavailable

* May change depending on the situation of the candidate