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• Full Stack Data Scientist Lead with 8+ years of experience spanning product analytics, data engineering, causal inference, and state-of-the-art machine learning modeling• Expertise in pricing, demand estimation and forecasting, attribution, marketing measurement, optimization and simulations; product analytics in e-commerce and two-sided marketplaces• Skilled at navigating complexity and ambiguity, with a proven track record of delivering data-driven insights that influence business decisions at both tactical and strategic levels
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Senior Data ScientistAirbnb Jan 2021 - PresentSan Francisco, Ca, UsWorked on guest booking app, guest growth and retention:• Built new data models by utilizing session-based client instrumentation to analyze user paths, identify frictions, understand usage patterns and attribute bookings to search and map components• Built new metrics, designed and analyzed experiments to support various guest product initiatives, areas including search, map, detailed page highlights (drove 1%* booking lift), checkout• Built cohort based panel models to measure the incrementality of users’ high value actions and prototyped guest engagement score system to prioritize and optimize engagement efforts via email channel -
Data ScientistUber Jan 2019 - Dec 2019San Francisco, California, UsWorked on Marketing measurement, optimization and forecasting by building Media Mix model and running various experiments(A/B test, market-level incrementality tests); responsible for Causal Impact Methodologies and Experiment Best Practice for the Marketing DS team by building and maintaining in-house packages, providing review and individual Q&A sessions to DS/DA peers -
EconomistAmazon 2016 - Dec 2018Seattle, Wa, UsWorked on pricing, demand forecasting of Amazon devices, membership revenue allocation, long term impact of customer engagement actions:• Built and validated demand models for both mature and emerging devices in-concept stage, and automated a simulation tool for Pricing • Led 3+ interns, formulated and built a discrete choice model to optimize the $multi-billion subscription revenue allocation• Built and productionized predictive models to have early reads on incremental long-term impacts from customers' engagement actions -
Research AssistantMichigan State University Aug 2012 - May 2016East Lansing, Mi, UsWorked on environmental and resource economics:• Combined revealed preference data and stated preference data to jointly estimate the value of water quality attributes and effects on beach recreation demand• Programmed customized joint log-likelihood function which incorporates a repeated three-level nested logit model in MATLAB, reduced estimation time from days to 2 hours, and bootstrapped sample to obtain cluster-robust standard errors• Designed survey about Great Lake beach visitation expenditures and led survey implementation, data cleaning and missing data imputation • Estimated economic impacts of beach visitation and water quality changes in the Great Lakes
Li Cheng Skills
Li Cheng Education Details
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Michigan State UniversityAgricultural Economics -
Renmin University Of ChinaAgricultural Economics (With Honor) & Mathematics And Applied Mathematics
Frequently Asked Questions about Li Cheng
What company does Li Cheng work for?
Li Cheng works for Airbnb
What is Li Cheng's role at the current company?
Li Cheng's current role is Data Scientist/Economist.
What is Li Cheng's email address?
Li Cheng's email address is ch****@****msu.edu
What schools did Li Cheng attend?
Li Cheng attended Michigan State University, Renmin University Of China.
What skills is Li Cheng known for?
Li Cheng has skills like R, Econometrics, Stata, Matlab, Spss, Data Analysis, Access, Arcgis, Sas, Economic Modeling, Programming, Survey Design.
Who are Li Cheng's colleagues?
Li Cheng's colleagues are Mehmet Aki̇f Gözüm, Kwakye Emmanuel, Anthony De León Pérez, Guaboun Youssef, Jake Fields, Varun Sharma, Pmp®, Neha Ayesha.
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