Jobs in Japan
Explore hand-picked jobs in Japan for English speakers across tech, education, marketing, and more.
Vetted companies only. Apply from overseas.
Explore hand-picked jobs in Japan for English speakers across tech, education, marketing, and more.
Vetted companies only. Apply from overseas.
RakutenYou will handle all data science tasks that use Rakuten Ichiba's large amount of data to make business grow faster. Specifically, you will help develop and use new AI solutions through the following tasks: 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.
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.
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.
