English summary for screening — check the original posting before applying.
Leverage your machine learning and data science expertise to develop and operate models that enhance user value and drive business growth. Collaborate with marketing, product, and business planning teams to drive projects from problem definition to model development, implementation, and effect verification.
Must-haves
- Experience in planning, developing, and operating data analysis and machine learning models in the business growth domain.
- Experience in customer analysis, behavioral analysis, and building predictive models to deepen user understanding.
- Experience in planning and designing analysis themes aimed at improving business KPIs such as new member acquisition, GMV, churn, revolving/installment profit, and cross-use.
- Experience in analysis and proposals leading to marketing initiatives, product improvements, and new business planning.
- Experience in implementing measures, verifying effects, and proposing improvements based on analysis results.
- Experience in collaboration and project promotion with business, marketing, and product departments.
Nice-to-haves
- Experience with generative AI, such as ChatGPT, for advanced analytical tasks.
- Experience in developing optimization models for user experience and product experience.
- Experience in developing predictive models for user behavior.
- Experience in developing and operating models for smart icon display optimization.
Tech stack
PythonSQLBigQueryGoogle Cloud (GCP)LightGBMXGBoostCatBoostscikit-learnStatsmodelsProphetOptunaSHAPpandasNumPyJupyter NotebookVertex AI WorkbenchLooker StudioVertex AI PipelinesDataRobotVertex AI
Work style
Remote & Full Flex!