Hybrid Data Scientist

at Mercari, Inc.

• Job title: Data Scientist
• Job type: Full Time
• Experience level: Junior, Mid level
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: AWS, Cloud, Docker, Google Cloud Platform, Jenkins, Kubernetes, Numpy, Pandas, Python, PyTorch, Tensorflow, Terraform
• Location requirements: Hybrid, Minato City, Japan

About the role

• Data Scientist at Mercari developing machine learning models for next-gen e-commerce platforms. Collaborating with engineers and researchers in AI technologies at a Tokyo-based team.

Responsibilities

• 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.

Requirements

• 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)