Business Overview
Rakuten Group, Inc. is an innovative internet service company based in Japan. About 100 million customers in Japan and 1 billion customers globally use its services.
Rakuten offers over 70 services in many areas. These include e-commerce, payment services, financial services, telecommunications, media, and sports. It is building the "Rakuten Ecosystem" to make people's lives and society better. Rakuten aims to give customers the best services and entertainment. It also wants to use technology to help its businesses grow.
Department Overview
The EC Business Data Analytics & Platform Section is part of the Business Support Development Department (BSD) within the Commerce & Marketing Company.
It develops and operates a data platform that uses the large amount of data from Rakuten Ichiba, which is a main business of Rakuten Group, Inc.
This section provides the following main services and functions to speed up Rakuten Ichiba's business growth using data and AI.
It designs, builds, and operates a data warehouse (DWH) that brings together and stores many kinds of Rakuten Ichiba data.
Data Pipeline Development and Operation
It develops and operates data pipelines for real-time and batch processing. This makes data collection, processing, and connection automatic, providing a steady data supply.
Data Solutions (Data Processing, BI)
It develops data analysis, visualization, and reporting functions. This helps business intelligence (BI) and provides solutions that support fast and accurate decisions based on data.
AI Solution Development and Operation
It uses machine learning and AI technology to develop and operate new AI solutions. These include predictive analysis, automation, customer behavior analysis, and AI agents, which create new business value.
Position
Why We Hire
We are looking for Data Scientists to make our data analysis and AI solution development stronger.
For this job, we are looking for people who can solve business problems using machine learning, generative AI, and advanced analysis methods.
You will work on fraud detection (fraudulent payment detection).Position Details
You Will Handle All Data Science Tasks That Use Rakuten Ichiba's Large Amount Of Data To Make Business Grow Faster.
Finding business problems and planning data strategies
You will work with product managers and other business departments to find business problems that data science can solve by asking questions
You will define the data needed to solve problems and plan and carry out efficient and effective data collection strategies
Advanced data analysis and AI solution development
You will use advanced methods like statistics, machine learning, and generative AI on the collected data to find deep insights
You will design and test experimental plans for AI solutions that use machine learning models and generative AI to solve business problems
You will continuously fine-tune models to make the developed solutions more accurate and better
Sharing results and checking effects
You will make reports of experiment results and analysis results that are clear and easy to understand visually
You will give insightful presentations based on data to stakeholders to help them make decisions
You will continuously check the effects of released solutions and suggest improvements based on objective measurements
Mandatory Qualifications
Over 3 years of experience in data analysis and machine learning modeling
Strong knowledge of machine learning (including deep learning) and generative AI
Advanced analysis methods for finding and solving business problems
Evaluating and tuning machine learning models and generative AI models
Python programming experience (with main data science libraries)
Experience with SQL
Knowledge of statistics
Communication skills
Presentation skills (explaining complex analysis ideas clearly)
Business level or higher Japanese and English
Desired Qualifications
Experience developing AI for fraud detection (fraudulent payment detection)
Experience in consulting
Experience developing and operating data science services
Experience in the e-commerce industry
Knowledge of causal inference
Experience developing machine learning platforms
Experience using BI tools like Tableau
Other Information
Additional information on Location
Rakuten Crimson House (Head office)
Additional Information On English Qualification
TOEIC Score 800 above or possess equivalent abilities
#engineer #datascientist #commerce #RakutenIchiba
Languages
English (Overall - - Advanced), Japanese (Overall - - Fluent)
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