AI Project Manager / Producer, Commerce & Marketing Consulting Section - AI & Data Consulting Department (AIDC) job opportunity at Rakuten International.

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Rakuten International AI Project Manager / Producer, Commerce & Marketing Consulting Section - AI & Data Consulting Department (AIDC)

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Commerce & Marketing Consulting Section - AI & Data Consulting Department (AIDC)

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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. Position: Position Details We are looking for talented people to perform AI Project Manager/Producer which has the role to conduct AISSD’s mission in front line. The position is expected to discuss with internal/external stakeholders to propose data-oriented solution for business growth, and to conduct multiple initiatives such as PoC & ad hoc analysis, solution development with Dev team etc. The position has opportunities to work in global culture with excellent employees joined around the world, and to experience Rakuten’s unique initiatives based on the cutting-edge data science. In this position, you will be responsible for proposing and providing data-driven solutions (such as data analysis, dashboard creation, machine learning model development, and product development with artificial intelligence) primarily for Rakuten's E-commerce and Leisure & Content businesses as a Project manager or Producer. Role and responsibilities - Propose initiatives for data/AI utilization to Rakuten’s business units or external clients and launch their projects. - Drive initiatives for data/AI utilization and manage projects. - Report business contributions by data/AI utilization to Rakuten’s business units or external clients. - Implement ad hoc analysis related to user attributes, purchasing, and behavior on the web and offline. - Drive system developments involving the system development department to standardize initiatives for data/AI utilization. Some examples of tasks include - Marketing Optimization: Clarifying and developing machine learning models for marketing optimization, conducting PoC, and implementing them in the field. - Analyzing business models and developing and operating dashboards for data analysis and -KPI monitoring to improve business KPIs. - Proposing, developing, and implementing automation tools using Generative AI to improve operational efficiency. Mandatory Qualifications: - Problem-solving skills for complex business issues (logical and systematic thinking, analytical skills, hypothesis formulation and execution) - Experience in data-oriented project(s) which applies data science to business. (+1y) - Project management skill to handle mid-large size project organized by multiple departments. (+3y) - Project management skill involving development (+3y) - Fundamental knowledge of data analysis and data science (understanding of databases, understanding of major machine learning algorithms and it’s mechanisms) - Report business contributions by data/AI utilization to Rakuten’s business units or external clients. - Basic Data analysis skill (Excel, VBA) - Business level communication both English and Japanese. (TOEIC 800+) Desired Qualifications: - Experience in a company or department which is specialized in data science or data analytics. - Technical skill to create a data model by programming language (python, SQL, etc.) and extract/calculate huge dataset to get outputs. - Work experience in a consulting firm. - Work experience in the digital marketing industry, e-commerce industry, and IT industry. - Experience to conduct presentation(s) CxO class executives. - Capability to discuss implementation approach with Dev team to define a solution’s specification. #producer #projectmanager #technologyservicediv

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