-------------【About the company ...】-------------
★ Aiming to create new value in the logistics, distribution and e-commerce industries.
The company aims to create a logistics infrastructure to build a new distribution model.
It's not just a labor-intensive build, it's about creating a better future for logistics with new concept technologies.
It is an original concept that constantly creates new value in the logistics, distribution and e-commerce industries, utilizing cutting-edge solutions and technologies from around the world. Specifically, they are conducting research and development to localize robots and other hardware to the Japanese market. The purpose is to provide logistics robots as support for those who work in distribution warehouses.
The company makes use of AI to simulate resources such as optimizing resources when humans and robots work in warehouses and optimizing inventory placement such as where to place inventory items and complete work in the shortest distance. In other words, it can be used as a tool that can visualize a lot of information that the person in charge of the logistics site wants to know.
The other is the proprietary development of software using AI for logistics facility managers. In an environment that differs from site to site, the purpose is to support the various decisions that logistics managers have to make under difficult and complex conditions.
The AI logistics software is also undergoing a demonstration experiment with a major logistics machine tool maker, receiving a grant from the New Energy and Industrial Technology Development Organization. The company plans to build a mechanism to share robots in the future while developing and introducing robot solutions.
-------------【 Job Description 】-------------
1． Requirements definition/project management
-Organize data, algorithms, analysis basic technologies, etc. necessary to develop Intelligent Logistics products
-Understand the issues facing the partner of the joint research partner and decide on an appropriate approach and make new proposals by themselves (cost-effectiveness analysis)
2． Data analysis
-According to the requirement definition, perform large-scale data covering marketing, sales, transportation and delivery, and work inside the warehouse by combining OSS tools with data processing and analysis.
-Understand Pro's and Con's of various analytical methods and explain to the company/customer in order to perform customer analysis tasks
3． Algorithm development and research
-Build next-generation logistics infrastructure using statistical and machine learning techniques (especially using demand forecasting, spatial statistics, network analysis, and group learning techniques)
-Participate in domestic and overseas conferences such as KDD, GTC, Deep Learning Summit, etc., and make use of the candidates themselves or our various networks to conduct research on the latest technology situations and to obtain information on technologies that can be commercialized.
The company is currently developing DyAS (Dynamic Allocation System), a distribution cash flow improvement software. The data scientist team is supporting this development and they are looking for members of this data scientist team.
In this position, you will analyze the vast amount of data handled at the logistics site, find useful logic, and perform modeling to achieve optimal logistics operations. The background and/or the industry as a data scientist does not matter. The company is looking for someone who wants to contribute to the construction of new logic in the field of logistics.
[The unique charm of the company]
Specializing in logistics
※Introduction of AI/robot
It is the only company in Japan that can do all of them
-------------【 Requirements 】-------------
■ Required skills
・ System implementation experience of Machine Learning algorithm
・ About 5 years of Python coding experience
・ Experience using C ++ or Java
・ Spark experience
・ Experience using AWS / GCP / AZURE
・ Experience using Container including Docker
・ Business Japanese (equivalent to N2 or above)
■ [Welcome requirements]
・ Experience solving problems using mathematical optimization
・ Expertise in statistics, machine learning, deep learning
・ Experience in data analysis
【 Working time 】
Full Flex-time System
Remote Work OK
【 Welfare 】
・Various Social Insurance (Employee Pension, Health Insurance, Employment Insurance, Labor Accident Insurance)
・ Commutation allowance
* Allowance for those who move from overseas
【 Holiday 】
・Full holiday 2-day system (Saturday / Sunday) holidays
・New Year holidays
・Annual paid leave
・Congratulations & Condolence Leave
The above information is a public job ad. This job ad is neither an offer nor a contract.
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