Senior Data Scientist

Position: Applied Data Scientist & ML Engineer

(Job title is flexible/negotiable depending on background)

Locations: Tokyo, Osaka, or Nagoya (Hybrid)

Annual Salary: ¥10M – ¥19M (commensurate with skills and experience)

Japanese: Fluent/Native level

Why This Role Matters

Most AI projects get stuck in lab demos and never make it to daily operations. We focus on fixing that disconnect.

Heavy industries—such as automotive, energy, and precision equipment—still run on millions of complex technical drawings, vendor quotes, and paper specs. We build intelligent software platforms that convert these messy real-world files into actionable insights, helping engineering teams speed up delivery, cut supply costs, and improve build quality.

We need hands-on technical talent to take full ownership of bringing AI solutions directly into live enterprise production.

What You Will Do

• Map & Structure Real Data: Study how client teams work day-to-day and turn raw operational records into clean, well-architected pipelines.
• Deploy LLMs into Production: Build and fine-tune machine learning and language model workflows, verifying accuracy with hard benchmarks rather than guesswork.
• Bridge Systems: Connect custom algorithms to enterprise cloud databases, monitoring system health and model drift after release.
• Scale Solutions: Spot recurring technical problems across client sites and feed reusable components back into our core software platform.

What We Expect

• 5+ years in data engineering, data science, or machine learning roles.
• 3+ years building and running data pipelines in production environments (hands-on code reviews and system architecture experience).
• 1+ years using modern LLM APIs to build features deployed for actual business users, backed by concrete performance and precision metrics.
• 2+ years working directly with product or business stakeholders to define technical requirements from scratch.

Please kindly apply if you speak fluent Japanese.