Data Scientist II, Analytics Department Jul 2022- May 2023
Main Job responsibilities: Data Scientist that worked with cross-functional team focused on user growth.
● Experimental design: Increased weekly active users and feature usage by over 50% through successful marketing experiments. Defined appropriate business metrics, recommended sample sizes for test/control, selected ideal users for experiments, and calculated statistical significance on audience groups before and after the tests.
● Product analytics: Developed Tableau live dashboards to monitor experiment impact on core and target business metrics in real-time, reducing individual analysis time by 50%. Provided easy access to primary test results for product and marketing teams without data scientist involvement.
● Efficiency analytics: Conducted an efficiency analysis of push notifications, resulting in a 10% reduction in unnecessary notifications while maintaining high user engagement. Adjusted push audience and frequency based on user profiles and recent activity and refined prediction models for improved accuracy in predicting user activity. Utilized SQL, Tableau, Python, R, and slides for comprehensive analysis.
● Data cleaning: Overcame data obstacles with effective cross-functional communication and advanced SQL. Successfully simulated missing activity data and delivered complex feature usage for yearly summary review in less than a day, despite no existing definition and code logic. This campaign led to positive social media discussions.
● Initiated and managed a knowledge sharing space by collecting and organizing scattered information on business domain, tables, and codes leading to an improved on-boarding process and enhanced peer knowledge sharing.