Provide health guidance through in-person or online consultations, helping participants understand health risks, set goals, improve daily habits, and track progress through chat or phone follow-up.
About this role
The role plans, develops and delivers training programs that teach corporate learners the fundamentals and practical skills of data analysis and machine learning. Responsibilities include managing learning progress, supporting participants, and guiding their applied projects.
Depending on the candidate’s skills and interests, the role may also provide client-facing data scientist support. This includes forming hypotheses, planning data analysis, collecting and preparing data, performing machine learning, statistical modeling and mathematical optimization, visualizing and reporting results for internal and external audiences, and providing technical support for turning proof-of-concept results into systems.
The development environment includes SQL and Python, with R used depending on the project. Cloud environments include GCP, AWS and Azure. Source code is managed with GitHub, projects are managed with Jira, and information is shared through Slack and Confluence.
Applicants should have professional experience as a data scientist or a degree in a related field, specialist knowledge of machine learning, deep learning or statistical modeling, and development experience using Python, R or SQL. The role requires the ability to explain specialized technical topics accurately and clearly, as well as an interest in organizational management and talent development.
The position supports client companies’ DX organization development and talent development through training and live project support. It provides opportunities to work with varied applications of data analysis and AI and to help advance their business use in client organizations.
The position is a full-time role based in Bunkyo, Tokyo. No salary, working hours, remote-work arrangement, benefits, start date or visa sponsorship terms are stated.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong.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.
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