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Updated 2025-09-19
Activated 2025-09-19

Data Scientist

This posting is managed by: 4M Career KK
Company Name Company is not publicly visible
Job Type
4M Career KK
IT (Other) - Data Analyst/Data Scientist
IT (Other) - Machine Learning/AI Engineer
IT (PC, Web, Unix) - Web Application SE
Industry Telecommunications/Information Services
Location Asia Japan Tokyo

Job Description 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 utilise 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.
- Focus on building solutions and data products that can be utilised beyond a single-project scope.
- Collaborate closely with other data scientists, consultants, project managers and data strategists.
- Communicate effectively with stakeholders, both in discussing approaches and in presenting results with appropriate visualizations.
- 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 your projects.
- Promote a knowledge-sharing and learning culture.

Mandatory Qualifications:
- 3+ years of relevant work experience in data science, analytics or related areas.
- Solid understanding of foundational statistics concepts and ML algorithms: random forest, gradient boosting machines, neural nets, etc.
- Experience building data science solutions for real business problems. (e.g. recommendation building, customer journey definition, shopping feature prediction, etc).
- Skilled in self-directed exploratory data analysis.
- Fluency in using Python (pandas, scikit-learn or equivalent tools) for data analysis.
- Experience with working on large data sets, especially with Spark, and/or cloud platforms such as AWS and GCP.
- 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 effectively communicate with non-technical as well as technical audiences.
Company Info Join a global tech-driven powerhouse headquartered in Tokyo, with over 70 services spanning e-commerce, fintech, mobile, and digital content. Operating in 30+ countries and serving 2 billion users, foster an entrepreneurial culture built on innovation, diversity, and speed.
With English as our official language and a team from 100+ nationalities, we value open communication and global collaboration. From powering Japan’s largest online marketplace to pioneering cloud-native telecom networks, we’re creating an ecosystem where ideas scale and people thrive.
If you're passionate about building impactful products and shaping the future of digital services, this is your place to grow.(Edited)
English Level Fluent (TOEIC 865-)
Japanese Level None
Salary JPY - Japanese Yen JPY 8000K - JPY 12000K   
Other Salary
Description		 Social Insurance
Commuting/ Transportation Allowance
Relaxation Facilities
Holidays Five-Day Workweek
Summer Holidays
Winter Holidays
Refresh Holidays
Sick Leave
Paid Holidays
Paid Holidays
Child-care Leave
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