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Li Zheng

Li Zheng

Data Science | Product | AI

SUMMARY

Data Scientist TL with 9+ years of experience shipping data-driven products from 0->1 and scaling to global audiences. Expertise in experimentation, causal inference, LLM/AI eval/integration, Search, measurement, and product growth.

Experience

Staff Data Scientist, Tech Lead

Meta (Instagram / Messenger)Sep 2021 - Jan 2026

Led IG Search × MetaAI integration by enabling LLM-based query understanding and personalized ranking; drove the global launch of E2EE on Messenger by leading experiment design, GTM strategies, & capacity plannin . IG Search × MetaAIE2EE

  • 0→1: Set launch criteria and drove AI Search integration into Instagram.
  • 1→100: Rebuilt the search stack end-to-end, driving 21% YoY growth in high-quality search volume.
  • Built LLM eval and benchmark frameworks for quality, safety, and regressions, including human-in-the-loop annotation and prompt optimization.
  • Designed a predictive demand and capacity framework that informed company investment decisions and unblocked IG AI Search launch.
  • Led a cross-functional analytics team improving IG Search quality and enabling MetaAI features like summarization and content recognition.
  • Drove launch go/no-go decisions through experiment design, metric definition, rollout planning, and causal analysis.
  • Built custom A/B frameworks for cluster and network experiments that later became an org standard.
  • Set roadmap priorities from user friction, opportunity sizing, and experimentation/holdout signals, and supported DS and engineering hiring.

Co-Founder

Flat StrategyFlat StrategyMar 2025 - Present

Providing homebuyers with a simple, transparent, and low-cost experience, while empowering realtors with AI agents that automate lead conversion and ensure effortless transaction compliance. Check us out!

Senior Associate, Data & Analytics Insights

PwCPwCJun 2018 - Sep 2021

Led top banks developing measurable insights, testing and implementing new ideas, mitigating risks, and reducing frictions through advanced quantitative analytics.

  • Led analytics engagements for major banks to test/implement new ideas, mitigate risk, and reduce operational friction through quantitative modeling
  • Developed and tuned financial risk models and classifiers; ran hypothesis testing and monitoring, saving 100+ hours/week in manual review
  • Built an NLP transaction screening system in Python (spaCy, scikit-learn, TensorFlow) and supported deployment across multiple clients

Summer Data Analyst

Duke HealthDuke HealthMar 2018 - Jun 2018

Optimized fraudulent identification workflow for one of the largest hospital groups in North America, reducing false positive rate from 37% to less than 10%.

  • Designed and implemented fraud and anomalies detection workflow
  • Built ETL data pipelines, performed DQ analysis, and drafted data dictionaries

Data Analyst

HER RealtorsAug 2015 - Dec 2016

Developed a real estate price prediction and recommendation system to help investor clients, leading to $5.3M combined deals.

  • Delivered model outputs via Tableau dashboards and iterated models/features with stakeholders
  • Built and trained machine learning models based on past transaction data

Education

M.S., Data Science (Financial Fraud Analytics)

Duke UniversityDuke University2017 - 2018

B.S., Accounting & MIS

The Ohio State UniversityThe Ohio State University2012 - 2016

Activity

Private Pilot License (PPL)

FAA • #3877290