- About the company
- This company provides an "agricultural information infrastructure" that integrates digital with the field.
By 2025, the company aims to connect supply chain data and build a new ecosystem (information infrastructure) that enriches farmers.
In 2017, the company started research and development on "shipment forecasting" and is currently conducting demonstrations for practical use with five products, mainly vegetables (horticulture facilities and open fields).
By adopting the cloud agricultural information infrastructure provided by this company, farmers can analyze the data necessary for farming in a multifaceted and efficient manner. They will be able to make accurate decisions based on the data and manage the various plans and operations from planting to shipping, as well as the timing of farm work, which has been done empirically and sensitively in the past.
The company's products provide powerful backup for farming from a new angle of data analysis, such as the ability to make optimal production plans and shipment forecasts according to various fields with different climates and soil types, cultivation conditions, weather conditions, market conditions, etc., and to reduce extra investment costs.
This company does not apply technologies created for other industries to agriculture, but rather works to optimize the management of large-scale agriculture. We have also developed a management analysis framework specifically for agriculture, and our strength lies in our experience and track record in conducting multifaceted management analysis and effectiveness verification in agriculture.
- Global Aspects
- Already foreign employee(s) working
- Actively pursuing diversity at the work place
- You will be involved in the "analysis" and "visualization" of data that leads to decision-making in agricultural management.
While working closely with agricultural managers (producers) and analyzing the data together, you will be able to identify issues that need to be addressed and points where strengths can be developed, while making full use of the company's analytical and expressive capabilities to support agricultural management.
This is a field where you can use your "data analysis skills" to discover the hidden value in data, or you can use your "ability to communicate in an easy-to-understand manner" to increase customer satisfaction.
Specific job description
In order to add more differentiating features in the future, we are looking for a person who can enhance the function development that is currently underway as follows.
Statistics (to turn the analysis results into some kind of input value)
Machine learning (to produce output that can be reflected in some products based on analysis results)
The main task is to think, test, and commercialize the machine learning approach together with the most advanced researchers in Japan.
This is a great opportunity to work for a company that has a great reputation.
This is an opportunity for you to contribute directly to the customer's business issues, as all projects are contracted out and the customer is in the production or sales division.
The company is in a phase of expansion, so you will be able to experience growth together with the company.
You will be able to contribute to the business with discretion, from data analysis to service development and improvement.
You can contribute to the business with discretion from data analysis to service development and improvement.
※Please note that the position is only for those who are currently residing in Japan only
Experience in information science or information science-related research.
Applicants should have a doctoral or master's degree.
PhD. or Master's degree
Interested in Prolog, Lisp, and Swift.
Mathematical knowledge: linear algebra, topology
English native level (Ability to write native level English for thesis writing and research)
Familiarity with one of the following: analysis, complex function theory, geometry, abstract mathematics, or theoretical statistics.
What they are not looking for:
Knowledge or experience in data analysis is not required.
Programming skills not required.
Implementation experience is not required.
Knowledge of machine learning, deep learning, etc. is not required.
- Japanese Level
R or Python experience
- Type of people (Personality)
- People who are interested in solving problems using data.
You are able to communicate and work together with customers and internal members to solve business problems.
You have the ability to assess situations with a focus on speed, accuracy, and cost.
The person who can always face customers positively and proactively to move the agriculture industry forward.
Must be tolerant of difficulties.
People with positive mindset
People who have basic research literacy
- Annual Expected salary (Minimum)
- Annual Expected salary (Maximum)
- Transporation cost coverage
- Covered based on Company's set policy
- Work hours
- End of Year and New Year Holiday
- Golden Week
- National Holiday
- Worker’s Accident Compensation Insurance （労災保険）
- Health Insurance （健康保険）
- Unemployment Insurance (雇用保険）
- Welfare Pension Insurance （厚生年金保険）