Data Scientist - Commerce & Marketing Consulting Section, AI & Data Consulting Department (AIDC) job opportunity at Rakuten International.

Home Jobs In Japan Tag: AI & Data Consulting Department (AIDC) Data Scientist - Commerce & Marketing Consulting Section, AI & Data Consulting Department (AIDC) position at Rakuten International


DateMore Than 30 Days Ago bot
Rakuten International Data Scientist - Commerce & Marketing Consulting Section, AI & Data Consulting Department (AIDC)
Experience: 3-years
Pattern: full-time
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AI & Data Consulting Department (AIDC)

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loacation Tokyo, Japan, Japan
loacation Tokyo, Japan....Japan

Job Description: Business Overview   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 Overview   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 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.  - Focus on building solutions and data products that can be utilized 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 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:  - 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.    Desired Qualifications:  - 3+ years of industry experience especially in digital marketing, e-commerce or customer analytics-related fields.   - Experience with model deployment and/or working with Data Engineers, Software Engineers, etc. in integrating analysis results and models into production systems.   - Experience with data visualization tools  #engineer #datascientist #researcher #DataEngineer #AI #aianddatadiv Languages: English (Overall - 3 - Advanced), Japanese (Overall - 3 - Advanced)

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