V

Victor Chen

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New York, United States

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Résumé


Jobs verified_user 0% verified
  • Calm
    Senior Data Scientist
    Calm
    Jan 2022 - Current (4 years 10 months)
    • Led the development of a personalized content recommendation system using user embeddings and session based behavioral signals, resulting in a 18% increase in daily session completion rate. • Designed and deployed A/B testing and causal inference frameworks to measure the impact of new feature launches, pricing strategies, and onboarding flows, driving product decisions in collaboration with product, design, and engineering teams. • Partnered with Growth and Lifecycle Marketing to optimize in-app and email messaging campaigns through uplift modeling and segmentation, contributing to a 12% YoY increase in reactivations. • Built and maintained self-serve dashboards in Looker and pipelines in Snowflake, democratizing behavioral insights
  • Meta
    Data Scientist
    Meta
    Oct 2018 - Jan 2022 (3 years 4 months)
    • Led cross-functional benchmarking and re-architecture efforts to transition from Spark/Scala to Presto-based experimentation infrastructure, improving latency, reliability, and cost-efficiency across the platform. • Optimized experimentation infrastructure, reducing compute cost by 5% through algorithmic enhancements and production-grade code, in partnership with infra engineers. • Shaped Facebook content recommendation strategies by quantifying feedback loop effects and developing metrics for content diversity, exploration, and interest matching. • Designed and analyzed large-scale A/B experiments to evaluate the impact of product changes on feed reliability, user satisfaction, and watch time, informing roadmap priorities. • Develope
  • Electronic Arts
    Data Scientist
    Electronic Arts
    Jul 2014 - Sep 2018 (4 years 3 months)
    • Developed and deployed a personalized pack recommendation model for in-game items, replacing a third-party vendor and generating millions in incremental revenue, accounting for over 40% of the central DS team's annual impact. • Built ML-based fraud detection systems to monitor payment and gameplay behavior, significantly reducing in game abuse and securing high-value transactions. • Created daily churn prediction pipelines using player telemetry, enabling timely player retention interventions and extending gameplay duration. • Delivered a real-time recommendation engine for EA Play Live, enhancing event app personalization and boosting user engagement. • Designed attribution models to quantify advertising effectiveness across acquisi
Education verified_user 0% verified
  • University of Chicago
    Bachelor of Arts (B.A.)
    University of Chicago
    Jan 2010 - Jan 2014 (4 years 1 month)