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Jonathan Chiang Email & Phone Number

Principal Data Scientist at Navy Federal Credit Union
Location: Vienna, Virginia, United States 5 work roles 3 schools
1 work email found @navyfederal.org 1 phone found area 301 LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 1 phone

Work email j****@navyfederal.org
Direct phone (301) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Principal Data Scientist
Location
Vienna, Virginia, United States

Who is Jonathan Chiang? Overview

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Quick answer

Jonathan Chiang is listed as Principal Data Scientist at Navy Federal Credit Union, based in Vienna, Virginia, United States. AeroLeads shows a work email signal at navyfederal.org, phone signal with area code 301, and a matched LinkedIn profile for Jonathan Chiang.

Jonathan Chiang previously worked as Data Scientist at Navy Federal Credit Union and Predictive Modeler at Navy Federal Credit Union. Jonathan Chiang holds Master'S Degree, Data Analytics from George Mason University.

Company email context

Email format at Navy Federal Credit Union

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{first}_{last}@navyfederal.org
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AeroLeads found 1 current-domain work email signal for Jonathan Chiang. Compare company email patterns before reaching out.

Profile bio

About Jonathan Chiang

Data Scientist

Listed skills include Teaching, Sat, Tutoring, Microsoft Excel, and 14 others.

Current workplace

Jonathan Chiang's current company

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Navy Federal Credit Union
Navy Federal Credit Union
Principal Data Scientist
AeroLeads page
5 roles

Jonathan Chiang work experience

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

Predictive Modeler

Vienna, Va, Us

Model Risk ManagementPerformed documentation validation of models as part of the model risk management framework to ensure compliance with regulatory requirements, internal policies, and industry/academic best practices.Performed conceptual soundness validation of models as part of the critical analysis process to ensure that models adhered to academic and industry best practices as part of the model risk management framework. Provided quantitative and qualitative assessment of model risk.Created challenger models across a variety of disciplines as part of the critical analysis process, using time-series techniques, classification techniques, and other machine learning processes, using R, Python, IBM SPSS Modeler, SAS Enterprise Guide, and other modeling tools to help identify risks and potential improvements to models.Performed responsible modeling reviews of models to ensure that model design and implementation align with the enterprise’s guiding principles, as well as academic/industry understanding of ethical machine learning processes.Created templates and reference material for modelers to promote modeling best practices.Assisted in maintaining inventory of models, and updating model risk management framework as processes matured, including various tracking tools and risk assessments. Worked closely with a variety of business units to provide support throughout the model life cycle, by providing information regarding modeling best practices, regulatory requirements, and technical guidance.Participated in the testing process of new modeling tools prior to wide-scale deployment across the enterprise.Engaged the Reporting, Modeling and Analytics (RMA) group to present model risk management framework to increase awareness.Joined the RMA Council to represent the model risk management team. Helped organize monthly events to promote CRISP-DM concepts with the modeling and analytics community.

Jul 2019 - Oct 2021

Patent Prosecutor

Vienna, Virginia, Us

Drafted a variety of documents for patent prosecution; drafted specifications, claims, responses to Office actions, appeal briefs, pre-appeal brief conference requests, and responses to restrictions.Conducted interviews on behalf of Applicants with the United States Patent and Trademark Office.Provided technical analysis in the fields of semiconductors, wired/wireless communications, computer science, electrical engineering, mechanical engineering, manufacturing methods, and others.Performed data mining and analysis to evaluate technical fields and IP portfolios.

Sep 2013 - May 2017

Teacher/Tutor

New York, Ny, Us

Taught SAT, GRE, GMAT, MCAT Verbal, and ACT courses of two-to-fifteen students.Tutored students individually.

Jan 2010 - Nov 2013
3 education records

Jonathan Chiang education

Master'S Degree, Data Analytics

George Mason University

Ba, English Literature

Washington University In St. Louis

High School Diploma

Montgomery Blair High School
FAQ

Frequently asked questions about Jonathan Chiang

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

What company does Jonathan Chiang work for?

Jonathan Chiang works for Navy Federal Credit Union.

What is Jonathan Chiang's role at Navy Federal Credit Union?

Jonathan Chiang is listed as Principal Data Scientist at Navy Federal Credit Union.

What is Jonathan Chiang's email address?

AeroLeads has found 1 work email signal at @navyfederal.org for Jonathan Chiang at Navy Federal Credit Union.

What is Jonathan Chiang's phone number?

AeroLeads has found 1 phone signal(s) with area code 301 for Jonathan Chiang at Navy Federal Credit Union.

Where is Jonathan Chiang based?

Jonathan Chiang is based in Vienna, Virginia, United States while working with Navy Federal Credit Union.

What companies has Jonathan Chiang worked for?

Jonathan Chiang has worked for Navy Federal Credit Union, Wpat, Pc, and The Princeton Review.

How can I contact Jonathan Chiang?

You can use AeroLeads to view verified contact signals for Jonathan Chiang at Navy Federal Credit Union, including work email, phone, and LinkedIn data when available.

What schools did Jonathan Chiang attend?

Jonathan Chiang holds Master'S Degree, Data Analytics from George Mason University.

What skills is Jonathan Chiang known for?

Jonathan Chiang is listed with skills including Teaching, Sat, Tutoring, Microsoft Excel, Data Analysis, Research, Microsoft Word, and Technical Writing.

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