• Full-time employee

Publication date: 2023.11.24

#1998 [Global Shopping] Data Scientist

  • AI / ML / Data Scientist / System development (Control&Embedding)
  • Tokyo
  • Salary ¥6M~¥12M
#1998【グローバルショッピング】データサイエンティスト
職種Position AI / ML / Data Scientist / System development (Control&Embedding)
会社概要Company profile [Company Profile]
The social shopping site, which has more than 10 million members, has grown into one of the largest overseas fashion e-commerce sites in Japan through its highly unique business model of CtoCx overseas fashion.

The global shopping site responsible for its global expansion was launched in July 2016. In the past, there was only a one-way flow of products from the world to Japan, but now it is a C to C cross-border EC marketplace where anyone can purchase products from anywhere in the world.

Based on the user base and purchasing information, a proven personal shopper will be the seller for the huge global fashion EC market (11.2 trillion yen even in the US market size alone), which is more than 10 times larger than Japan. “Providing new value to users around the world.

Currently, the total transaction volume in 88 delivery countries is over 350% compared to the same quarter of the previous year, which is steadily expanding mainly in North America, which is an important pillar of thier growth strategy.
仕事内容Job description [Job description]
You will use data science to maximize the value of their services.
This is a position where you can use the data obtained through product operation to develop machine learning models and algorithms, and incorporate them into services (machine learning system development), depending on your experience and desire.

[Specific project]
・Similar image search
・Identification and normalization of exhibited product IDs
・Recommendation algorithm development
・Personalize the order of search results
・Fraud detection algorithm development
・Providing content generation and interactive UX using generation AI
応募資格Requirement [Requirements]
・Programming experience to analyze and create predictive models using Python
・Knowledge and strong interest in machine learning such as regression, classification, and clustering
・Knowledge of basic statistical analysis such as understanding of correlation/causation and various tests
・Ability to clearly communicate analysis results using machine learning and statistical analysis methods
・Ability to construct hypotheses and propose and promote measures based on an understanding of services and systems
・Required Japanese ability: N2 (business level)

[Preferred requirements]
・Experience in actually improving and growing services using machine learning
・Desire to solve problems together with the marketing team and other engineers
・Be able to select an analysis method suitable for the problem, considering the balance between accuracy and time cost, etc.
・Experience participating in data analysis competitions such as Kaggle
・Knowledge and implementation experience of mathematical optimization algorithms
・A desire to learn by absorbing knowledge from books, papers, etc. on your own as necessary
・Experience extracting data using SQL

[Environment]
Language: Python 3.X SQL, Shell Script
DB: BigQuery
BI: Looker, Redash
Code management: GitLab
Communication: slack, zoom, esa, redmine
Machine learning platform: Kubeflow PIpelines, Vertex AI
#If necessary, please select your own analysis environment.
日本語力Japanese level Business
雇用形態Employment type Full-time employee
勤務エリアLocation Tokyo
勤務時間Working hours 9: 30-18: 30 *Flexible time system available (core
想定年収Salary ¥6M~¥12M
条件・待遇Condition Employment Type: Permanent
Trial period: 3 months
Estimated annual income: ¥6M to \12M
Work location: Tokyo (full remote OK)
Working hours: 9: 30-18: 30 *Flexible time system available (core time: 10:30-15:30)
Holidays: 2 days a week (Saturdays and Sundays), national holidays
Vacation: Summer vacation, year-end and New Year holidays, and other vacations available
Overtime: Average month 20 hours
Benefits: Complete social insurance, commuting allowance (according to company regulations), and other benefits
選考についてProcess Number of applicants: 1
Documents required for application: resume, resume of work
Online interview: Available
Interview language: Japanese
Number of interviews (flow): 2 times + proper inspection
Application for overseas residents: Unavailable
* May change depending on the situation of the candidate
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