Job Description

Business

Rakuten group has almost 100 million customers in Japan and 1 billion customers around the world, and provides more than 70 services such as e-commerce, payment services, financial services, mobile, media, sports, etc.

Department

AI Services Supervisory Department (AISSD) provides data-oriented solutions by leveraging data science and Rakuten group’s data gathered from 70+ services. The department contributes to Rakuten’s business units and Rakuten’s business partners as well. We have the strategic vision “Rakuten as a data-driven membership company”. AISSD has the mission to realize it.

Among the AISSD, the AI & Data Consulting Department (AIDC) serves as a bridge between the business units and the development units. We propose data-driven solutions based on a deep understanding of the business and swiftly drives their implementation.

Position

Position Details

- Work on the full data science process, from initial problem formulation and ideation through to model building and deployment of data science products. 

- Flexibly utilize Rakuten’s primary big data, as well as relevant third-party data (e.g. offline sales data, geo-spatial data, government statistics, etc.) to uncover trends and patterns that help our business succeed. 

- Use SQL in a big data context to extract data to support business needs. 

- Select and implement the most appropriate predictive models and algorithms for the issue at hand. 

- Collaborate closely withconsultants, project managers and data strategists.  

- Formulate and propose novel solutions to existing business challenges in a pro-active way. 

- Keep up with industry trends in data science/machine learning and consider when to introduce them to Rakuten/your projects. 

- Promote a knowledge sharing and learning culture. 

Business domain
Commerce & Marketing:
- Driving data solution of Commerce Company of Rakuten Group (Rakuten Ichiba, Rakuma, Rakuten Fashion, etc.) by maximizing value of data.
- Providing data-oriented solutions utilizing clients and Rakuten data for external customers, such as manufacturers, retailers, and local governments, through marketing actions such as ads and media.

Mandatory Qualifications

- 2+ years of relevant work experience in data science, analytics or related areas. 

- Solid understanding of foundational statistics concepts and ML algorithms

- Skilled in self-directed exploratory data analysis. 

- Fluency in using Python (pandas, scikit-learn or equivalent tools) for data analysis. 

- Ability to extract, combine and analyze complex datasets using SQL. 

- Ability to work collaboratively in a team environment and work effectively with people at all levels in an organization. 

- Ability to distill complex data and findings into clear, presentable reports.  

- Ability to communicate in both Japanese and English

Desired Qualifications

- 2+ years of industry experience especially in digital marketing, e-commerce or customer analytics-related fields.  

- Experience implementing models independently or in collaboration with other teams

- Experience working with LLMs or GenAI models

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Languages:

English (Overall - 3 - Advanced), Japanese (Overall - 3 - Advanced)