JDSC builds custom AI and data science systems for manufacturing, logistics, energy, healthcare, and public-sector clients across Japan. The stack spans AWS, GCP, Azure, and on-premise (SAP S/4HANA), with heavy use of Python, dbt, BigQuery, and Snowflake—revealing a company balancing legacy enterprise integration with modern data infrastructure. Current hiring velocity is strongest in engineering (28 roles), sales (20), and data science (17), paired with active projects in RAG systems, SAP implementations, and supply-chain optimization, signaling aggressive commercial expansion into AI-driven advisory services.
Notable leadership hires: Business Development Director
JDSC, founded in 2018 and headquartered in Tokyo, operates as a public company serving Japan's core industrial sectors. The business model combines three streams: algorithm module development and licensing, custom IT systems integration and operations, and data science-driven business consulting. Projects span RAG system deployment in maritime, logistics data science for supply-chain management, SAP S/4HANA implementations, and AI agent proof-of-concepts. The organization is navigating post-merger integration, rapid cloud adoption, and internal transformation to scale AI deployment—challenges reflected in active hiring across engineering, sales, and data roles.
AWS, GCP, Azure, Python, Snowflake, BigQuery, dbt, Django, React, PostgreSQL, MongoDB, and SAP S/4HANA for enterprise clients. Also active on Kaggle for data science workflows.
RAG system deployment in maritime, SAP S/4HANA implementations, logistics supply-chain data science, AI agent development, data platform construction, and new advisory service design for industrial clients.
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