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Experienced data scientist capable of leveraging technical skills and people skills to carry data science projects from end to end.
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Senior Data Scientist - Growth MarketingGrammarly May 2024 - PresentSan Francisco, California, Us -
Data Scientist - Growth MarketingRoblox Dec 2020 - May 2024San Mateo, California, UsPrototyped the company's first user lifetime value model to forecast user future monetization, which allowed marketing to obtain an early estimate of return on ads spent and enabled the product to test causal levers to lift bookings.Measured the incremental impact of paid media without user-holdout experiments via causal inference methodologies, such as geo-lift experiments and synthetic control models, leading to reallocating sizable budgets to more incremental segments.Pitched and led the data science strategy and implementation of Roblox's first retargeting marketing campaign and proved the value of re-engagement by designing and analyzing experiments to understand incremental efficiency and improve future strategies.Built out the growth marketing data foundation that allowed growth marketers to understand campaign efficiency through data ingestion, ETL pipelines, and dashboards. -
Data Scientist - Acquisition AlgorithmStitch Fix Nov 2018 - Dec 2020San Francisco, Ca, UsOptimizing marketing efficiency via algorithmic intervention * Maximized the total conversion values by predicting converted customer LTV in real-time and sending them to external marketing platforms in the absence of immediate actualized values. * Owning full cycle, full-stack data science work in building, validating, and productionizing real-time pLTV models. * Proven millions of incremental annualized impacts on revenue and margin by designing and analyzing experimentsOwning marketing experimentation to unlock efficiency * Improving marketing efficiencies by designing and analyzing marketing experiments to understand and quantify treatment impact. * Making marketing experiments rigorous and actionable by advocating experimental design best practices and creating power analysis methodologies. * Making experimental results accessible and automating repeated analysis by creating ETL + inference pipeline with external marketing API -
Jr. Data Scientist - Marketing ScienceBooking.Com Aug 2017 - Oct 2018Amsterdam, Netherlands, NlLeading the acquisition of 1000+ short-term rental properties in 1 year by providing recommendations and prioritization on U.S. supply-side short-term rental acquisitions via complex data analytics projects.Helped the business to understand the incremental ROI of various business processes such as pilot programs and account management via designing and analyzing large scale geo-lift causal inference experiments. Built custom Facebook marketing analytics infrastructure/ data pipeline in collaboration with other Booking.com team members and Facebook engineers; contributions include 1. Enabled more precise causal ROI attribution of multi-million dollar monthly ad spend by designing innovative digital marketing metrics and applying statistical inference. 2. Unlock the capability to store granular marketing data by creating ETL that integrates Facebook marketing API with internal Hadoop tables with Python, Oozie, and Hive -
Statistician, Research And DevelopmentAcademic Therapy Publications Sep 2016 - Mar 2017Novato, Ca, UsBuilt highly reliable (Cronbach’s alpha > 0.9) language and speech pathology assessment test model for large-scale, country-wide validation through applying item response, structural equation, and factor analysis models in R. Automated cleaning, validation, and analytic processes of psychometric data by developing functions in R using regular expressions, sped up data cleaning procedure from 10+ hours to seconds, and reduced data cleaning error rate from 5% to less than 1%.
Jesse Yang Skills
Jesse Yang Education Details
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University Of California, DavisStatistics -
University Of California, DavisPsychology
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Galvanize IncData Science
Frequently Asked Questions about Jesse Yang
What company does Jesse Yang work for?
Jesse Yang works for Grammarly
What is Jesse Yang's role at the current company?
Jesse Yang's current role is Marketing Data Science at Grammarly.
What is Jesse Yang's email address?
Jesse Yang's email address is je****@****fix.com
What is Jesse Yang's direct phone number?
Jesse Yang's direct phone number is +141586*****
What schools did Jesse Yang attend?
Jesse Yang attended University Of California, Davis, University Of California, Davis, Galvanize Inc.
What skills is Jesse Yang known for?
Jesse Yang has skills like R, Statistics, Python, Sql, Machine Learning, Research, Web Scraping, Psychometrics, Data Analysis, Data Mining, Python, Analytics.
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