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.
As a Data Scientist, you will be responsible for developing data analysis, machine learning infrastructure, and machine learning models. This role offers the following advantages: 1. The opportunity to work on developing a wide range of machine learning models 2. Growth opportunities unique to a startup 3. The chance to take on challenges in the cutting-edge field of finance x MaaS Machine learning models for cars: We are applying AI to the know-how cultivated at Gulliver, a used-car buying and selling company, to develop car pricing models that will become the standard in the used-car industry, as well as services that turn that value into something customers can use. Machine learning models for people: In addition to demographic data and payment data, we will use data related to “people,” such as driving data collected through IoT devices, to develop machine learning models that calculate credit scores and driving scores, as well as services that turn that value into something customers can use. * Service development will be carried out in collaboration with the data engineering and application engineering teams. Other data-analysis-related problem solving: Perform data analysis that contributes to improving the productivity of marketing and sales organizations, such as marketing science and lead scoring. In addition, carry out data engineering, such as building data pipelines and preparing the MLOps environment, to turn the analysis results into business outcomes.
Experience in data analysis using Python and R (other languages negotiable) Hands-on experience in data processing, data analysis, and data visualization Experience using databases with SQL
Experience using AWS (Lambda, Glue, Redshift, Athena, QuickSight, and other analytics-related services) Experience in data engineering, such as building DWHs Experience in backend engineering, such as building databases Experience in project management / product management Experience driving projects in collaboration with business-side teams such as sales organizations Experience using geo data collected from IoT devices Awards or prizes in machine learning competitions such as Kaggle
Fully two-day weekend system (Saturdays, Sundays, and public holidays off) Annual holidays (120+ days) + mandatory minimum of 5 days of paid leave * Year-end and New Year holidays, condolence leave, and other leave types * Paid leave is subject to company regulations
