Develop data strategies for the collection, sampling, labeling, handling, and utilization of massive datasets to improve the performance of machine learning models that power next-generation e-commerce platforms.
Design and enhance scalable data pipelines and automation for machine learning and performance evaluation.
Analyze large-scale data to understand its characteristics, propose technical solutions for machine learning and performance evaluation, and present the results both internally and externally.
Collaborate with researchers, engineers, and business teams to research and implement advanced technologies for next-generation AI services.
Experience a rare position that will allow you to take on the highly valuable challenge of implementing the results of your research into society.
Collaborate with researchers from universities, enabling us as a private company to carry out long-term research projects that are not bound by conventional frameworks.
In particular, you will have the opportunity to dive into state-of-the-art technology in AI field and update your strong skill set in AI, Computer Vision, and AR/VR domain.

Ph.D. in Computer Science or a related field, or equivalent professional experience.
At least 2 years of experience in data science or related fields, including theoretical knowledge in machine learning (deep learning, statistical analysis, mathematical modeling, etc.).
Experience in software development using Python (numpy, scipy, scikit, pandas) and databases.
Experience using machine learning frameworks such as PyTorch or TensorFlow.
Familiarity with modern development tools and cloud environments such as Git, AWS, or GCP.
5+ years of experience in data science or related fields. (Preferred)
Experience analyzing large-scale databases (petabyte level). (Preferred)
Experience in building large datasets. (Preferred)
Experience building and managing infrastructure with Docker, Kubernetes, Jenkins, Terraform, GitHub Actions, or similar tools. (Preferred)
Business-level Japanese proficiency, with smooth reading, writing, and listening skills. (Preferred)

Data Scientist

Key skills