[Foreign nationals welcome, fundraising platform] Data scientist ※Full flex・hybrid work

※This job opening is only for those who are living in Japan＜Summary＞Position: Data scientistSalary: ￥6M～ depending on your skillset and experienceLocation: Hybrid / Full flex[Company Overview]This company provides a platform for fundraising methods that are neither debt nor equity.Last year, the actual loan amount exceeded 6 billion yen, and in some months the amount exceeded 200% compared to the same month of the previous year.When applying for fundraising through this platform, future sales are assessed based on financial data, and companies can receive funding based on the assessment.Since it is not an investment, there is no dilution of shares, and since it is not a loan, there is no need for joint guarantees or collateral, and funds can be raised quickly within 6 business days.[Recruitment Background]As the business expands, they are recruiting personnel to strengthen their product.[Attractiveness of the company/job]・20% of the staff are foreign nationals, making it an international environment.・In the future, they also plan to expand their services overseas, such as in Southeast Asia.[Specific Expected Work]- Building, improving, and operating risk scoring and revenue forecasting models for RBF- Analyzing and extracting insights from financial data (P/L, B/S, C/F, transaction data, etc.)- Developing models using tree-based methods (Decision Tree, Random Forest, Gradient Boosting/LightGBM, etc.) and logistic regression- Managing experiments and model lifecycles using MLflow- Experimenting, evaluating, and improving models, and creating reports on both technical and business aspects- Collaborating with engineers and analysts to integrate models into production and continuously monitor them- Staying up to date on the latest advances in financial modeling, time series forecasting, and applied machine learning[Core requirement]- Practical experience in data science and machine learning (especially in the fields of finance, credit risk, and forecasting)- Practical experience with Python, SQL, and machine learning libraries (e.g., scikit-learn, LightGBM, XGBoost)- Knowledge of experiment management and MLOps using MLflow and similar tools- Knowledge of model evaluation and risk assessment[Conditions]Employment Type: Full-timeExpected Annual Salary: Determined based on experience and skillsProbationary Period: 6 monthsWork Location: Tokyo (Remote work 2-3 times a week is acceptable)Work Hours: Super Flexible (No core time, 8 hours per day between 5:00 AM and 10:00 PM + 1 hour break)Days Off: 2 days off per week (Saturdays and Sundays), public holidaysVacations: Summer vacation, New Year's holiday, and other holidaysOvertime Hours: Average 20 hours per monthBenefits: Full social insurance, commuting allowance (according to company policy), and other benefits▼more detailhttps://unitedworld.jp/detail/2351/