CareerCross uses cookies to enhance your experience on our websites. If you continue to view our sites without changing your browser settings, then it is assumed that we have your consent to collect and utilise your cookies. If you do not want to give us your consent, then please change the cookie settings on your browser. Please refer to our privacy policy for more information.
CareerCross uses cookies to enhance your experience on our websites. If you continue to view our sites without changing your browser settings, then it is assumed that we have your consent to collect and utilise your cookies. If you do not want to give us your consent, then please change the cookie settings on your browser. Please refer to our privacy policy for more information.
| Location | Tokyo - 23 Wards |
| Job Type | Temporary |
| Salary | Based on hourly rate |
Join a high-impact data science team responsible for developing and optimizing large-scale advertising platforms using machine learning, experimentation, and advanced analytics. This role focuses on building and deploying models for ad performance optimization, pricing strategies, and decision-making systems that operate in real-time, high-traffic environments.
Client Details
A global technology organization operating large-scale digital platforms and advanced advertising solutions powered by data and machine learning. They are committed to innovation in AI, analytics, and optimization technologies, enabling businesses to make smarter, data-driven decisions at scale.
Description
Job Offer
To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Serina Miyazono on +81 3 6627 6130.
| Minimum Experience Level | No experience |
| Career Level | Mid Career |
| Minimum English Level | Fluent |
| Minimum Japanese Level | Business Level |
| Minimum Education Level | Bachelor's Degree |
| Visa Status | Permission to work in Japan required |
| Job Type | Temporary |
| Salary | Based on hourly rate |
| Hourly Rate | ¥3000 - ¥4500 |
| Industry | Retail |