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 internship analyzes real-world data related to food, health, and daily lifestyle patterns. Work includes designing and validating recommendation systems using ingredients, recipes, menus, and nutrition information; analyzing and visualizing clinical research data conducted with university hospitals; and preparing business reports from food trends and behavioral logs.
The data includes weight, sleep, meal, and other lifestyle records from hundreds of thousands of users, more than 10,000 recipes, and over 2 million menu records. Interns are expected to form hypotheses about socially meaningful questions, analyze the data, and consider whether the results can influence people’s behavior.
Required experience includes using Python for preprocessing and aggregation and using SQL to extract data. Knowledge of web services built with Ruby on Rails is welcome, as is an interest in machine learning, visualization tools, food or healthcare, and academic papers or research.
The role uses production logs stored in BigQuery, with Python and SQL for aggregation, analysis, and preprocessing. Team sharing and reporting use Notion and Google Slides. Depending on interest, the intern may also work on implementation and visualization in Python.
The research and development team consists of two full-time members and five student part-time members. Its expertise includes machine learning, statistical analysis, visualization, and recommendation systems. The team works across product development, academic research, and business projects. Related work includes improving recommendation logic tied to service KPIs, designing and analyzing data for clinical studies with medical institutions, and reporting on joint projects with pharmaceutical and food companies.
The broader product context includes a meal-management app for general users and the Kakaris meal-guidance system for medical institutions. The company also conducts clinical research and academic publication with university hospitals. The position is an internship based in Tokyo, and online interviews are available.
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