Use Python and SQL to analyze real-world food, health, and lifestyle data, contributing to recommendation systems, clinical research, visualizations, and business reports in a Tokyo R&D internship.
About this role
This full-time role is based in Tokyo and is part of a small research and development team. The team works to increase the value of food and health data through two main areas: building evidence for the effectiveness of the company’s services and improving service value with machine-learning models.
The engineer will develop and tune content recommendation systems using user profiles, nutrition information, recipes, and meal-plan data from the Oishi Kenko service. Other work includes designing, analyzing, and visualizing data for clinical research conducted with universities, hospitals, and other research institutions. The role also contributes to reports on eating-pattern data for business customers in the pharmaceutical, food, and insurance industries.
The role offers opportunities to participate in research activities and academic work, including publishing papers and presenting findings. The product context includes the Oishi Kenko meal-management application for patients and consumers, as well as Kakaris, a dietary-guidance support solution for medical institutions.
Service logs, product data, and research data are collected in BigQuery as tabular data. Python and SQL are used for analysis and processing. The recommendation engine server is written in Django and returns information to a service API server written in Rails. The stated development environment includes Python, SQL, Ruby, AWS, GCP, BigQuery, and MySQL.
Required experience includes at least two years of practical experience building or operating machine-learning models; at least one year of practical experience processing, analyzing, and visualizing data with SQL, Python, or similar tools; at least one year using databases with SQL; and at least one year of team development using source-code management systems such as GitHub. Applicants must also have basic statistical knowledge, including hypothesis testing and multiple regression, and at least one year of practical experience selecting appropriate data-analysis methods for business or client issues. The posting also emphasizes coding and documentation that consider ease of use and operation.
Preferred experience includes Ruby or Rails development, mobile application development, and infrastructure operations using AWS or other cloud platforms. The research and development team currently consists of two full-time members and five part-time members. The company states that remote work and core-time flextime are available, and online interviews are accepted. New employees receive onboarding support during their first six months, including monthly one-on-one lunches with a mentor and regular meetings with the CEO.
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