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 role is part of the research and development team and focuses on improving Oishi Kenko’s food and health services through machine learning and data analysis. Day-to-day work includes building and tuning a content recommendation system using user profiles, nutrition information, recipes, and meal plans. The role also covers data design, analysis, and visualization for clinical studies conducted with universities and hospitals, as well as reports on food-trend data for business clients in the pharmaceutical, food, and insurance industries.
The team works with data collected through the Oishi Kenko meal-management app and contributes to evidence-building activities, including academic research and opportunities to publish papers. The company also develops Kakaris, a dietary guidance solution for medical institutions, and other services related to food, prevention, and healthcare.
The research and development group consists of two full-time members and five part-time members, including data scientists and machine-learning engineers. The broader organization includes engineers, designers, and registered dietitians who discuss and improve services from the perspective of patients and everyday users.
The development workflow aggregates logs, service data, and research data as tabular data in BigQuery, followed by analysis and processing with Python and SQL. The recommendation engine server is written in Django and returns information to a service API server written in Rails. The listed 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 using SQL and Python or similar tools for data processing, analysis, and visualization; at least one year using SQL databases; and at least one year of team development with GitHub or another source-code management system. Applicants should have basic statistical knowledge, including hypothesis testing and multiple regression, and at least one year of practical experience selecting appropriate analysis methods for business or client issues. The role also requires coding and documentation that consider ease of use and operation.
Experience with Ruby or Rails, mobile application development, or infrastructure operations using AWS or another cloud platform is welcomed. This is a full-time position based in Tokyo. The company states that remote work and core-time flextime are available, and online interviews are accepted. New employees receive onboarding that includes monthly one-on-one lunches with a mentor during the first six months and regular meetings with the CEO.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Develop and improve Android apps for health and nutrition services. Analyze user behavior, define features, improve app experiences, review code, test releases, and maintain mobile CI/CD.
As a data science research and development intern, analyze real-world food, health, and lifestyle data with Python and SQL for recommendation, clinical-research, and business-reporting projects.
Develop end-to-end machine-learning models for autonomous-driving taxis from camera and LiDAR data, then evaluate and optimize them in simulation and real vehicles.
Build and operate shared AWS cloud infrastructure across multiple products, using Terraform, Kubernetes and GitHub Actions to improve reliability and incident response.
Build and manage internal IT and security foundations, including policies, security tools, Microsoft 365, assets, accounts, help desk, and workflow automation. Remote and office work are available.