Senior Data Scientist
Current
Mar 2022 - Present
AeroLeads people directory · profile
Gary (Kai-Jui) Chen Email & Phone Number
Senior Data Scientist at Amazon Web Services (AWS)
at
Amazon Web Services (AWS)
1 work email found
@amazon.com
1 phone found area 347
LinkedIn matched
✓ Verified May 2026
4 data sources
Profile completeness 100%
Current company
Role
Senior Data Scientist at Amazon Web Services (AWS)
Location
New York, New York, United States
Who is Gary (Kai-Jui) Chen? Overview
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Quick answer
Gary (Kai-Jui) Chen is listed as Senior Data Scientist at Amazon Web Services (AWS) at Amazon Web Services (AWS), based in New York, New York, United States. AeroLeads shows a work email signal at amazon.com, phone signal with area code 347, and a matched LinkedIn profile for Gary (Kai-Jui) Chen.
Gary (Kai-Jui) Chen previously worked as Senior Data Scientist at Amazon Web Services (Aws) and Data Scientist at Amazon Web Services (Aws). Gary (Kai-Jui) Chen holds Master Of Science, Industrial Engineering & Operations Research (Ms&E) from Columbia University.
Company email context
Email format at Amazon Web Services (AWS)
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{first_initial}{last}@amazon.com
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AeroLeads found 1 current-domain work email signal for Gary (Kai-Jui) Chen. Compare company email patterns before reaching out.
Profile bio
About Gary (Kai-Jui) Chen
I hold a Master of Science from the Industrial Engineering & Operations Research (IEOR) department from Columbia SEAS'17. I have a strong background in leveraging Machine Learning and Data Science to solve critical problems and make better business decisions. Technical skills including Machine Learning, Natural Language Processing, Deep Learning, Statistical Models, Causal Inference, A/B testing. Participated in a Kaggle classification challenge and achieved the top 10th percentile in terms of model performance leveraging RNN.4X AWS Certified
Listed skills include Data Center, Cloud Computing, Management, High Availability, and 60 others.
Current workplace
Gary (Kai-Jui) Chen's current company
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5 roles
Gary (Kai-Jui) Chen work experience
A career timeline built from the work history available for this profile.
Data Scientist
- Deploy production ML models on AWS Sage Maker to help AWS Sales prioritize customer engagement based on their predicted conversion probability.
- Utilize Double Machine Learning (DML) method to estimate causal relationship from un-randomized observational data.
Jan 2020 - Mar 2022
Senior Data Scientist
- Global Commercial Card Analytics, Data Science
- Reinventing a customer needs-based XGBoost model and introduced talking points for US commercial customers with annual revenue larger than $1M, resulting in $305M incremental annual spend.
- Developing ML-based targeting strategy to engage high predicted opportunity commercial clients within the US market.
- Coordinate with partners across multiple functions (marketing, sales, finance) to ensure overall success and ROI of the phone outreach channel.
Feb 2017 - Dec 2019
Data Science Intern
- Developed a Random Forest ML model to forecast member dis-enroll probabilities and trends using demographic information, qualitative survey results and health assessment score.
- Visualized the forecasting result using dashboard in Tableau. Provide site manager and executive level with business intelligence to tackle dis-enrollments in each plan & specific sites beforehand.
- Assisted in generating business metrics report using SQL and Excel for executives, finance department and site managers.
Jun 2016 - Dec 2016
Process Development Engineer
- Innovated the Underfill Capillary flow process using Pressure Oven. Result in 300% increase in unit per hour, 66% decrease in cost, and huge improvement in overall quality by reducing underfill void.
- Utilizing analytical method to structure an quantitative model that simulates the distribution of Underfill Encapsulants dot weight; regulating a new spec for this process and enhance the yield rate to 99%.
- Improved the resolution of Scanning Acoustic Tomography for detecting underfill void in our products, and remodeled the Automatic Optical Inspection to improve its accuracy for detecting defects by 250%.
Oct 2014 - Sep 2015
4 education records
Gary (Kai-Jui) Chen education
Master Of Science, Industrial Engineering & Operations Research (Ms&E)
Columbia University
Machine Learning Engineer Nanodegree
Udacity
Master Of Science (M.S.), Engineering And System Science (Material Science And Engineering Major)
National Tsing Hua University
Bachelor Of Science (B.S.), Engineering And System Science
National Tsing Hua University
FAQ
Frequently asked questions about Gary (Kai-Jui) Chen
Quick answers generated from the profile data available on this page.
What company does Gary (Kai-Jui) Chen work for?
Gary (Kai-Jui) Chen works for Amazon Web Services (AWS).
What is Gary (Kai-Jui) Chen's role at Amazon Web Services (AWS)?
Gary (Kai-Jui) Chen is listed as Senior Data Scientist at Amazon Web Services (AWS) at Amazon Web Services (AWS).
What is Gary (Kai-Jui) Chen's email address?
AeroLeads has found 1 work email signal at @amazon.com for Gary (Kai-Jui) Chen at Amazon Web Services (AWS).
What is Gary (Kai-Jui) Chen's phone number?
AeroLeads has found 1 phone signal(s) with area code 347 for Gary (Kai-Jui) Chen at Amazon Web Services (AWS).
Where is Gary (Kai-Jui) Chen based?
Gary (Kai-Jui) Chen is based in New York, New York, United States while working with Amazon Web Services (AWS).
What companies has Gary (Kai-Jui) Chen worked for?
Gary (Kai-Jui) Chen has worked for Amazon Web Services (Aws), American Express, Centerlight Health System, and Tsmc.
How can I contact Gary (Kai-Jui) Chen?
You can use AeroLeads to view verified contact signals for Gary (Kai-Jui) Chen at Amazon Web Services (AWS), including work email, phone, and LinkedIn data when available.
What schools did Gary (Kai-Jui) Chen attend?
Gary (Kai-Jui) Chen holds Master Of Science, Industrial Engineering & Operations Research (Ms&E) from Columbia University.
What skills is Gary (Kai-Jui) Chen known for?
Gary (Kai-Jui) Chen is listed with skills including Data Center, Cloud Computing, Management, High Availability, Scalability, It Operations, It Management, and Saas.
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