Tasks:
- * Build user value models and segmentation
- * Detect and monitor fraudulent users
- * Develop dashboards and operational reports
- * Model high-value user behavior and journeys
- * Partner with growth and product teams to implement data insights
Perks/Benefits:
- + Afternoon tea
- + Company apartments
- + Growth partner
- + Holiday events
- + Housing allowance
- + Internal knowledge sharing
- + Meals
- + Onboarding mentor
- + Overseas trips
Skills/Tech stack required:
[A/B] [A/B Testing] [Anomaly Detection] [Behavioral feature engineering] [B testing] [Classification] [ClickHouse] [Decision Trees] [Feature Engineering] [Fraud Detection] [Funnel Analysis] [Hive] [LTV modeling] [Model Evaluation] [Pandas] [PLTV modeling] [Predictive Modeling] [Python] [Regression] [Retention analysis] [Risk Analytics] [Scikit-learn] [Spark] [SQL] [User Segmentation]
Educational requirements:
[Bachelor's Degree]
Role(s):
[Analyst] [Data Analyst] [Product Data Analyst]