Seeking data scientist interested in data from a wide range of industries handled by our Corporation! (Particularly urgent: English-speaking overseas positions)
New business planning and new service product development. The company started full-scale operations in December 2019 and has been working on the following projects
The company has been working on the following projects. Demand forecasting in food distribution, building mathematical optimisation models to minimise inventory and shortages Delivery
Calculation of interest rate forecasting models Customer analysis, subscription business analysis, and provision of business insights
Recommendation mode ling that uses graph optimisation to determine similar products based on purchasing information.
Recommendation services that determine similar products based on purchasing information,
The company handles a wide range of industries (industrial plants, logistics, energy, retail, food, health care, urban development, mobility, electric power, chemicals, metal resources, etc.), which allows us to be involved in a wide range of global fields. In addition, we are not only involved in development, but also in the development of new products and services.
In addition to development, you will also be able to take the initiative in creating new businesses by entering into projects from the planning stage with our new business managers.
In addition to development, you will also be able to take the initiative in creating new businesses by entering into projects from the planning stage with our new business managers. The job description: To solve customer's issues and requests to improve efficiency in the future through machine learning and mathematical optimisation,
The job is to solve customer's problems and requests to improve efficiency in the future through machine learning and mathematical optimisation. Machine learning model building (demand/supply forecasting, interest rate forecasting, etc.) Mathematical optimisation model building (delivery optimisation, etc.)
Optimization models (delivery optimization, order quantity optimization, etc.) ・Efficient PoC by building machine learning pipelines, etc.
Provide business insights through analysis of customer data Not limited to PoC, models created by data scientists are developed by in-house engineers.
The model created by the data scientist will be developed by in-house engineers, and the entire process will be handled from the development stage to the SaaS provisioning stage. We will provide business insights based on analysis.
Machine learning: PyTorch, TensorFlow, LightGBM / Optuna, etc. - Machine learning efficiency: Luigi, - Mathematical optimization: OR Tools
Machine learning: PyTorch, TensorFlow, LightGBM / Optuna, etc. Mathematical optimization: OR Tools Various platforms: Deployed on GCP (Google Compute Engine, Google Cloud
Various platforms: Deployed on GCP (Google Compute Engine, Google Cloud Storage, Big-Query, AI Platform, etc.)
Demand and supply forecasting Development of dynamic pricing server Development of recommendation engine
Development of recommendation engines Analysis of user behaviour Image recognition About the employee's Although there are only about 30 employees, the top runners of programming contests and Kaggle have been working for the company for many years.
Although there are only about 30 employees, we have a small elite group of diverse members, including a top ranker in the Kaggle programming contest, a medalist in the International Science Olympiad, and a PH.
1 holders. We have an environment where you can discuss the best solutions with our excellent data science team members.
We have an environment where we can discuss the best solutions with excellent data science team members. Although the number of members is still small, we welcome applications from anyone who wants to change Japanese industry and optimise it using their own programming.
If you want to make a difference in Japanese industry and optimise it using your own programming, please apply.
Experience in data analysis and machine learning projects as a data scientist
Experience developing and operating large-scale, distributed systems Experience operating web systems Basic knowledge of RDBMS and SQL
Experience developing and operating micro-services using Docker / Kubernetes Experience managing data science teams
Experience in consulting using data science Business level English communication skills Submission of papers for publication both domestically and internationally,
Paper submission and publication both domestically and internationally
The right person for the job
The right person for the job
We are committed to providing leadership to all of our employees through the following five core competencies