Daniel Evert
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Daniel Evert Email & Phone Number

Lead Data Scientist at USAA
Location: Austin, Texas Metropolitan Area, United States 8 work roles 3 schools
1 work email found @usaa.com LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email d****@usaa.com
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Current company
Role
Lead Data Scientist
Location
Austin, Texas Metropolitan Area, United States
Company size

Who is Daniel Evert? Overview

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Quick answer

Daniel Evert is listed as Lead Data Scientist at USAA, a with 39829 employees, based in Austin, Texas Metropolitan Area, United States. AeroLeads shows a work email signal at usaa.com and a matched LinkedIn profile for Daniel Evert.

Daniel Evert previously worked as Senior Data Scientist at Apple and Senior Machine Learning Engineer at Apple. Daniel Evert holds Scpd, Artificial Intelligence from Stanford University.

Company email context

Email format at USAA

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{first}.{last}@usaa.com
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AeroLeads found 1 current-domain work email signal for Daniel Evert. Compare company email patterns before reaching out.

Profile bio

About Daniel Evert

Seasoned professional who promotes a results-driven approach to Data Science. Past project provided protective coverage on assets worth tens of billions of dollars against adversarial entities by use of deployment of a personally curated AI-toolbox --- right tool for the right job. Mission-driven. Team-oriented. Full-stacked. And, dreams of automating himself out of his own job. No, seriously.

Listed skills include R, Microsoft Excel, Analytics, Data Analysis, and 25 others.

Current workplace

Daniel Evert's current company

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USAA
Usaa
Lead Data Scientist
Boise, ID, US
Website
Employees
39829
AeroLeads page
8 roles

Daniel Evert work experience

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

Lead Data Scientist

Boise, Id, Us

Senior Data Scientist

Boise, Id, Us

Senior Machine Learning Engineer

Cupertino, California, Us

Senior Data Scientist

Cupertino, California, Us

Aug 2022 - Nov 2023

Senior Data Scientist

San Antonio, Texas, Us

- Led several full-stack Data Science initiatives that yielded value in the tens of millions of dollars in savings to USAA. - Developed customized algorithms that have awarded me recognition in USAA's innovation labs. - Integral player in pushing Machine Learning into Fraud Analytics- Demonstrated cross-functional team leadership on high profile initiatives with business & IT partners. - Led compliance initiatives per SR 11-7, the Federal Supervisory Guidance on Model Risk Management, that culminated in an innovative Model Risk Performance Monitoring suite.

May 2016 - Aug 2022

Advanced Analytics, Sr.

At&T

- Developed a suite of customer equity models that allowed AT&T to position itself strategically during the Gigapower rollout phase. - Developed Unsupervised Learning algorithms to assist in marketing promotion of High Speed Internet products. - Led the analytics of AT&T's Direct Mail campaign optimization program. - Developed the analytics of AT&T's Call-Center prioritization engine that positioned Marketing to deploy customized promotional offers to customers.

May 2014 - May 2016

Legislative Analyst

Office Of The Comptroller

I worked during the 83rd Legislative Session as an intern for the Comptroller's Legislative Liaison department working with representative's and senator's offices. Such duties included acting as a conduit between the legislature and the comptroller's office, primarily tracking legislation, playing the part of journalist at the committee hearings, writing bill summaries and discussing statute with various legislative offices.

Jan 2013 - May 2013

Research Engineering Scientist

University Of Texas

Temporary Position.Responsibilities included: Set up a mouse database using Filemaker, read extensive Pubmed research, aided in designing a 3D brain atlas using a vibrotome, immunohistochemistry, Nissl stain, and gained extensive knowledge of the various regions of the hippocampus (mice). Project mostly related to finding particular cells related to a specific behavioral response.

Mar 2011 - Jul 2011
Team & coworkers

Colleagues at USAA

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3 education records

Daniel Evert education

Scpd, Artificial Intelligence

Stanford University

Masters In Statistics, Statistics

Texas A&M University

Psychology, Neuroscience

Texas A&M University
FAQ

Frequently asked questions about Daniel Evert

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

What company does Daniel Evert work for?

Daniel Evert works for USAA.

What is Daniel Evert's role at USAA?

Daniel Evert is listed as Lead Data Scientist at USAA.

What is Daniel Evert's email address?

AeroLeads has found 1 work email signal at @usaa.com for Daniel Evert at USAA.

Where is Daniel Evert based?

Daniel Evert is based in Austin, Texas Metropolitan Area, United States while working with USAA.

What companies has Daniel Evert worked for?

Daniel Evert has worked for Usaa, Apple, At&T, Office Of The Comptroller, and University Of Texas.

Who are Daniel Evert's colleagues at USAA?

Daniel Evert's colleagues at USAA include Roseanna Perez, Lauren Fernandez, Justin Henning, Michelle Martinez, and Lucy Morales.

How can I contact Daniel Evert?

You can use AeroLeads to view verified contact signals for Daniel Evert at USAA, including work email, phone, and LinkedIn data when available.

What schools did Daniel Evert attend?

Daniel Evert holds Scpd, Artificial Intelligence from Stanford University.

What skills is Daniel Evert known for?

Daniel Evert is listed with skills including R, Microsoft Excel, Analytics, Data Analysis, Sas Programming, Microsoft Office, Technical Writing, and Logistic Regression.

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