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Jun Ni Email & Phone Number

Data Science Manager at PayPal
Location: Wilmington, Delaware, United States 5 work roles 3 schools
1 work email found @paypal.com LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email j****@paypal.com
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Data Science Manager
Location
Wilmington, Delaware, United States

Who is Jun Ni? Overview

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Quick answer

Jun Ni is listed as Data Science Manager at PayPal, based in Wilmington, Delaware, United States. AeroLeads shows a work email signal at paypal.com and a matched LinkedIn profile for Jun Ni.

Jun Ni previously worked as VP, Consumer Modeling Manager at Pnc and Quantitative Operations Analyst at Bank Of America. Jun Ni holds Doctor Of Philosophy (Ph.D.), Statistics from University Of South Carolina.

Company email context

Email format at PayPal

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*@paypal.com
71% confidence

AeroLeads found 1 current-domain work email signal for Jun Ni. Compare company email patterns before reaching out.

Profile bio

About Jun Ni

Seasoned data scientist with 10+ years experience in modeling, analytics, and data mining across marketing, risk, collection, and stress testing in retail banking. Motivated leader with management experience in cross-functional environments.

Listed skills include Predictive Modeling, Statistical Modeling, Sas, Data Mining, and 18 others.

Current workplace

Jun Ni's current company

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PayPal
Paypal
Data Science Manager
Website
AeroLeads page
5 roles · 25 years

Jun Ni work experience

A career timeline built from the work history available for this profile.

Data Science Manager

Current

San Jose, Ca, Us

Apr 2021 - Present

Vp, Consumer Modeling Manager

Pnc

Pittsburgh, Pennsylvania, Us

CCAR and CECL model development for Auto/Credit Card portfolioMarketing/Economic Profit/Attrition modeling & analytics for Credit Card/Auto

Jan 2012 - Apr 2021

Quantitative Operations Analyst

Charlotte, Nc, Us

Contact/channel modeling and optimization for Credit Card CollectionAutomation of model validation and monitoring

Mar 2008 - Jan 2012

Statistical Analyst Consultant

Experian Marketing Services

Marketing modeling (response and profitability)Customer profiling and segmentation analysis

2007 - 2008 ~1 yr

Statistical Market Analyst

Arcadia Analytics, Llc

Sale forecasting modeling for consumer packaged goods productsMarketing analytics and strategyForecasting software development

2002 - 2007 ~5 yrs
Team & coworkers

Colleagues at PayPal

Other employees you can reach at paypal.com. View company contacts →

3 education records

Jun Ni education

Doctor Of Philosophy (Ph.D.), Statistics

University Of South Carolina

Master Of Science - Ms, Financial Mathematics

Clemson University

Bachelor Of Engineering (Be), Electrical And Electronics Engineering

Xi'An Jiaotong University
FAQ

Frequently asked questions about Jun Ni

Quick answers generated from the profile data available on this page.

What company does Jun Ni work for?

Jun Ni works for PayPal.

What is Jun Ni's role at PayPal?

Jun Ni is listed as Data Science Manager at PayPal.

What is Jun Ni's email address?

AeroLeads has found 1 work email signal at @paypal.com for Jun Ni at PayPal.

Where is Jun Ni based?

Jun Ni is based in Wilmington, Delaware, United States while working with PayPal.

What companies has Jun Ni worked for?

Jun Ni has worked for Paypal, Pnc, Bank Of America, Experian Marketing Services, and Arcadia Analytics, Llc.

Who are Jun Ni's colleagues at PayPal?

Jun Ni's colleagues at PayPal include Niall Kearns, Arun Singh Christopher, Udayan Naik, Simon Lehelley, and Alex Vincent.

How can I contact Jun Ni?

You can use AeroLeads to view verified contact signals for Jun Ni at PayPal, including work email, phone, and LinkedIn data when available.

What schools did Jun Ni attend?

Jun Ni holds Doctor Of Philosophy (Ph.D.), Statistics from University Of South Carolina.

What skills is Jun Ni known for?

Jun Ni is listed with skills including Predictive Modeling, Statistical Modeling, Sas, Data Mining, Analytics, Quantitative Analytics, Data Analysis, and Credit Risk.

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