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Yi Ding Email & Phone Number
Lead Data Scientist
at
CVS Health
2 work emails found
@sysco.com
2 phones found area 858
LinkedIn matched
✓ Verified July 2026
4 data sources
Profile completeness 100%
Who is Yi Ding? Overview
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Quick answer
Yi Ding is listed as Lead Data Scientist at CVS Health, based in Houston, Texas, United States. AeroLeads shows a work email signal at sysco.com, phone signal with area code 858, and a matched LinkedIn profile for Yi Ding.
Yi Ding previously worked as Data Scientist at Sysco and Data Scientist at Ibm. Yi Ding holds Master’S Degree, Applied Statistics from Penn State University.
Company email context
Email format at CVS Health
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{last}.{first}@sysco.com
89% confidence
AeroLeads found 2 current-domain work email signals for Yi Ding. Compare company email patterns before reaching out.
Profile bio
About Yi Ding
With over 6 years of experience in data science, I excel at utilizing advanced machine learning algorithm, statistical analysis and experimentation methods to address complex business challenges. I have a solid theoretical and practical background in statistics and extensive experience in data engineering. I have a proven track record of collaborating effectively with marketing, business, and engineering teams on implementing data-driven strategies.
Listed skills include Statistics, Statistical Programming, Biochemistry, Python, and 14 others.
Current workplace
Yi Ding's current company
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7 roles
Yi Ding work experience
A career timeline built from the work history available for this profile.
Lead Data Scientist
• Led measurement and optimization of trial recruitment, built and developed a framework that automated A/B test analysis, cohort comparison, insights gaining, and strategy discovery and validation. Supported all trials across multiple channels with data-driven insights, improved engagement rates by 30-200% and contributed to over $200k quarterly revenue lift• Initiated and built email optimization and call prioritization models to identify patients with high engagement propensity, led modeling strategies for campaign optimization, resulting in a 2-3X lift on key metrics across multiple campaigns• Designed experimentations, measured and optimized performance on multichannel campaigns of clinical trial recruitment. Optimized the pipeline with automated feature generation and ingestion, reducing development time by over 50%• Built a patient disease identification model framework to streamline disease modeling, supporting efficient targeting and effective outreach. Improved recruitment effectiveness by 2-5X compared to random outreach
Data Scientist
• Built an email campaign engine that generated personalized and prioritized product recommendations for customers and customized email send time with predictive modeling. Designed and executed experimentations to optimize open and conversion rate with A/B testing • Deployed scalable flask rest API in sprint manner and established CI/CD practices with DevOps team, significantly accelerating processes• Developed and supported recommender systems to recommend forgotten items, similar items, etc. to increase line purchasing and penetration, contributing to over $6M quarterly revenue increase • Initiated and built an item substitution engine to recommend alternatives for out-of-stock items, and deployed APIs utilizing AWS Elasticsearch and DynamoDB supporting multichannel; Improved engine performance and acceptance rate to 40% by incorporating end-user feedback• Conducted pricing analysis, deployed price migration algorithms nationally, resulting in $2.4M annual revenue benefits• Built a hybrid text matching algorithm with TF-IDF, n-grams and edit distances to provide insights on acquisition and decision making on external data sources incorporation • Led two associate data scientist onboarding, road maps and deliverables. Managed one associate data scientist
Jul 2018 - Apr 2022
Data Scientist
• Analyzed over 100GB multi-dimensional health claims data, integrated disparate data sources, developed predictive model to execute risk stratification for population management, led the model conversion for a group of 8 scientists• Successfully deployed the developed model into production, tested pilot product and delivered solutions in an agile team• Predicted the cost of underlying illness burden that individuals carry to manage financial risk of clients• Utilized machine learning techniques to detect high-risk patients, and drove data-driven strategies for stakeholders
Feb 2017 - Jun 2018
Research Fellow, Independent Contractor
Performed statistical programming and analysis on the ongoing research by Professors Richard Olshen and Lu Tian:• Further developed the R package lymphclon, examined variance estimation method, and revised the underlying distribution for a better estimator in a broad ecological context
Oct 2015 - Sep 2016
Research Associate/Data Analyst
Collaborated with a Stanford Economic Sociology Researcher on Longitudinal Study of Employer Pensions, cleaned, prepared and analyzed data:• Cleaned and integrated 50GB unstructured pension-plan data from the Department of Labor with bankruptcy datasets; Identified significant results of 401k adoption rate in different bankruptcy levels and built quantitative models of 401k adoption and identified its significant predictors
Mar 2016 - Jun 2016
Graduate Research Fellow
• Calculated, modeled 3D protein structures using Python, which were deposit into Protein Data Bank (Code: 2N2L) • Manipulated, processed, displayed and analyzed multidimensional data on LinuxMy work has led to several papers published in peer-reviewed journals, and contributed to the acquisition of a research project grant from the National Institutes of Health
Jan 2011 - Jun 2015
4 education records
Yi Ding education
Master’S Degree, Applied Statistics
Penn State University
Doctor Of Philosophy (Ph.D.), Computational Biology, Biomedical Sciences
Sanford Burnham Prebys Medical Discovery Institute
Doctor Of Philosophy (Ph.D.), Computational Biology
Iowa State University
Bachelor'S Degree, Chemistry
University Of Science And Technology Of China
FAQ
Frequently asked questions about Yi Ding
Quick answers generated from the profile data available on this page.
What company does Yi Ding work for?
Yi Ding works for CVS Health.
What is Yi Ding's role at CVS Health?
Yi Ding is listed as Lead Data Scientist at CVS Health.
What is Yi Ding's email address?
AeroLeads has found 2 work email signals at @sysco.com for Yi Ding at CVS Health.
What is Yi Ding's phone number?
AeroLeads has found 2 phone signal(s) with area code 858 for Yi Ding at CVS Health.
Where is Yi Ding based?
Yi Ding is based in Houston, Texas, United States while working with CVS Health.
What companies has Yi Ding worked for?
Yi Ding has worked for Cvs Health, Sysco, Ibm, Stanford University, and Sanford Burnham Prebys Medical Discovery Institute.
How can I contact Yi Ding?
You can use AeroLeads to view verified contact signals for Yi Ding at CVS Health, including work email, phone, and LinkedIn data when available.
What schools did Yi Ding attend?
Yi Ding holds Master’S Degree, Applied Statistics from Penn State University.
What skills is Yi Ding known for?
Yi Ding is listed with skills including Statistics, Statistical Programming, Biochemistry, Python, Statistical Software, Data Analysis, Sas Programming, and R Programming.
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