Senior Data Scientist / Analytics Engineer | ¥7M–¥12M | Tokyo, Japan | Hybrid / Remote flexibility

🚀 Senior Data Scientist / Analytics Engineer

✨ Competitive salary: ¥7M–¥12M /Yearly

🈯 Languages: Japanese (N1/N2) and English

📍 Location: Tokyo, Japan

🌏 Hybrid / Remote flexibility available

Join a fast-growing AI and data innovation company transforming industries through alternative data, generative AI, and advanced analytics. Backed by a strong digital ecosystem and rapid international expansion, the company is building next-generation AI-powered products that are reshaping how businesses, financial institutions, and government organizations make strategic decisions.

As a Senior Data Scientist / Analytics Engineer, this role goes far beyond traditional data analysis. You’ll work across the full product lifecycle — from data infrastructure and machine learning to product deployment and strategic client solutions — helping businesses and government organizations make smarter, data-driven decisions.

🔹 What You’ll Work On:

• AI-powered commercial real estate and retail analytics platforms

• Alternative data solutions for institutional investors and government agencies

• Financial sector DX and predictive lending intelligence

• End-to-end analytics engineering, MLOps, backend systems, and dashboard development

• Demand forecasting, consumer analytics, and AI-driven decision systems

🔹 Ideal Background:

✔ Strong experience in Python, ML modeling, and structured data analysis

✔ Client-facing analytics/project leadership experience

✔ Experience across data engineering, BI tools, MLOps, or backend development

✔ Business-level Japanese communication skills

✔ Passion for product growth, ownership, and innovation

🔹 Why This Opportunity Stands Out:

✨ Work at the intersection of AI, big data, and product innovation

✨ Collaborate with high-impact teams solving real-world business problems

✨ Exposure to cutting-edge generative AI and alternative data ecosystems

If you’re excited about building data products that influence industries and shape the future of AI-powered decision-making, this opportunity is worth exploring.