Senior Data Scientist (Retail & Marketing Analysis)

Role Overview

We are seeking 3–4 Senior Data Scientists to join a high-impact analytics program supporting one of the world’s leading global apparel retailers. This is a hands-on, client-facing role where you will own end-to-end analytical workstreams — transforming complex retail data into trusted decisions that shape product supply, pricing strategy, store network expansion, and marketing investment across Japan and international markets.

What You Will Do

You will not just build models — you will explain their findings, validate their reliability, and guide business stakeholders toward evidence-based choices. Each successful candidate will anchor one or two core domains while contributing flexibly across the broader program.

Why It Might Be a Fit

You will have the opportunity to directly influence major commercial decisions at a globally recognized brand, and you will have the chance to grow professionally in applied data science, econometrics, cloud engineering, and client consulting.

Requirements

• 5+ years of hands-on professional experience in Data Science, Applied Statistics, Econometrics, or Advanced Analytics
• Proven track record of independently owning full analytical or modeling deliverables from design through to stakeholder presentation
• Strong statistical foundation: regression, time-series analysis, hypothesis testing, controlled comparison design, out-of-sample validation
• Practical experience building and evaluating ML or statistical models — including gradient boosting (LightGBM), forecasting, and response models — with clear understanding of model mechanics, limitations, and failure modes
• Advanced SQL skills for querying and joining large multi-source datasets in a cloud data warehouse
• Strong Python skills (pandas, scikit-learn, equivalent) for data preparation, modeling, validation, and workflow automation
• Working knowledge of data modeling principles: data grain, temporal joins, slowly changing dimensions, lineage, and validation at scale
• Japanese: JLPT N2 or equivalent — confident participating in meetings, discussing analysis, and presenting findings with business stakeholders
• English: Conversational / Business level — comfortable reading documentation, attending team meetings, and coordinating with international colleagues
• Bachelor’s or higher degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, or a related field

Benefits

• Opportunity to directly influence major commercial decisions at a globally recognized brand
• Professional growth in applied data science, econometrics, cloud engineering, and client consulting
• International, collaborative team environment
• Comprehensive onboarding and knowledge transfer program