Join a global leader in AI research as a Lead Data Scientist specializing in Ethical AI. Based in Tokyo, you'll work at the intersection of technology, fairness, and innovation-developing scalable tools and frameworks that ensure transparency, explainability, and social responsibility in AI systems. This is a high-impact role driving cutting-edge research that shapes the future of responsible technology adoption across diverse industries.
Key Responsibilities
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Design and lead the development of Ethical AI tools, fairness metrics, and safety guidelines
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Implement AI evaluation methodologies in collaboration with engineering and product teams
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Promote Ethical AI adoption through internal education and stakeholder engagement
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Mentor junior researchers in bias detection, explainability, and responsible development
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Publish research findings, submit patents, and represent the company at global conferences
Required Skills and Qualifications
Experience:
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PhD in Computer Science, Mathematics, Physics, or a related field
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Demonstrated expertise in Responsible AI and model explainability
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Proven record in academic publications or application of research in production AI systems
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Python proficiency and ability to work in a Unix/Linux environment
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Fluent English communication for collaboration across global teams
Soft Skills:
Language Requirements
Preferred Skills & Qualifications
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2+ years leading research teams or AI projects
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Experience with additional languages (C++, Java, R)
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Contributions to open-source or cross-disciplinary AI communities
About the Company
Work with a globally recognized digital and AI powerhouse operating across multiple international hubs. The AI research division is known for pioneering work in machine learning, NLP, computer vision, and Ethical AI. This team drives innovation in high-impact domains while upholding principles of fairness, transparency, and social responsibility.
Why You'll Love Working Here
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Work on globally relevant challenges in fairness, transparency, and AI safety
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Freedom to publish and innovate within a research-first culture
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Collaborate with elite scientists and engineers worldwide
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Flexible, future-forward work environment with minimal bureaucracy
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Strong emphasis on ethical impact, long-term thinking, and innovation
Don't Miss Out - Apply Now!
