Data Scientist (Economics)

This role applies economic theory and machine learning to products across CyberAgent's AI Business Division, where over 70% of staff are in technical roles. Focus areas include ad-tech (bid optimization, click/conversion prediction, ad creative selection algorithms, auction bidding strategy, experiment design), retail DX (causal-effect verification of in-store campaigns, location- and purchase-data-based ad optimization), and government/healthcare DX (mechanism and market design for public resource allocation, nudge-based behavior change, UI/UX optimization for online medical consultation and medication-guidance services). The work involves proposing and improving product algorithms from an economics-informed perspective to solve business problems, with success measured by direct business impact. Candidates should have experience analyzing data and building models in Python or R, a basic understanding of machine learning, econometrics, and causal inference, the ability to research and reproduce relevant academic papers, and enough business understanding to make economics-grounded proposals. Published econometrics/causal-inference papers, ML/AI conference acceptances, or hands-on ML implementation experience are pluses. Full-time position based in Shibuya, Tokyo, working hours 10:00-19:00 (discretionary labor system may apply for some roles), with a two-day weekend and standard company benefits.